notebooks/T1_Method1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ![CellphoneDB Logo](https://www.cellphonedb.org/images/cellphonedb_logo_33.png) | CellphoneDB is a publicly available repository of curated receptors, ligands and their interactions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CellphoneDB method 1\n",
    "\n",
    "This notebook assumes that you either know how two download CellphoneDB database or to create your own database. If this is not the case, please check `T0_BuildDBfromFiles.ipynb` or `T0_BuildDBfromRelease.ipynb`. In this notebook we will explain how to run CellphoneDB for the **statistical method**.\n",
    "\n",
    "> This method does not test for interaction significance, if you need this please use method 2 `cpdb_statistical_analysis_method`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check python version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import sys\n",
    "import os\n",
    "\n",
    "pd.set_option('display.max_columns', 100)\n",
    "os.chdir('/home/jovyan/cpdb_tutorial')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking that environment contains a Python >= 3.8 as required by CellphoneDB."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.10.9 | packaged by conda-forge | (main, Feb  2 2023, 20:20:04) [GCC 11.3.0]\n"
     ]
    }
   ],
   "source": [
    "print(sys.version)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "___\n",
    "### Install CellphoneDB"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Installing last version of CellphoneDB in the current conda enviroment. \\\n",
    "Remove the `--quiet` flag in case you want to see a detailed description of the installation process."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> pip install --quiet cellphonedb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "___\n",
    "### Input files\n",
    "The statistial method accepts 4 input files (3 mandatory).\n",
    "- **cpdb_file_path**: (mandatory) path to the database `cellphonedb.zip`.\n",
    "- **meta_file_path**: (mandatory) path to the meta file linking cell barcodes to cluster labels `metadata.tsv`.\n",
    "- **counts_file_path**: (mandatory) paths to normalized counts file (not z-transformed), either in text format or h5ad (recommended) `normalised_log_counts.h5ad`.\n",
    "- **microenvs_file_path** (optional) path to microenvironment file that groups cell types/clusters by microenvironments. When providing a microenvironment file, CellphoneDB will restrict the interactions to those cells within the microenvironment.\n",
    "\n",
    "The `microenvs_file_path` content will depend on the biological question that the researcher wants to answer.\n",
    "\n",
    "> In this **example** we are studying how cell-cell interactions change between a subset of immune cells and trophoblast cells as the trophoblast differentiate and invade the maternal uterus. This module will randomly permute the cluster labels of all cells whitin each microenvironement (`microenvs_file_path`) 1,000 times (default) and determine the mean of the average receptor expression level in a cluster and the average ligand expression level in the interacting cluster. Then, we will obtain a P-value for the likelihood of cell-type specificity of a given receptor–ligand complex."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "cpdb_file_path = 'db/v5/cellphonedb.zip'\n",
    "meta_file_path = 'data/metadata.tsv'\n",
    "counts_file_path = 'data/normalised_log_counts.h5ad'\n",
    "microenvs_file_path = 'data/microenvironment.tsv'\n",
    "out_path = 'results/method1'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inspect input files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"color:green\">**1)**</span> The **metadata** file is compossed of two columns:\n",
    "- **barcode_sample**: this column indicates the barcode of each cell in the experiment.\n",
    "- **cell_type**: this column denotes the cell label assigned."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>barcode_sample</th>\n",
       "      <th>cell_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AGCGATTAGTCTAACC-1_Pla_HDBR10917733</td>\n",
       "      <td>B_cells</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ATCCGTGAGGCTAGAA-1_Pla_Camb10714918</td>\n",
       "      <td>B_cells</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AGTAACCCATTAAAGG-1_Pla_HDBR10917733</td>\n",
       "      <td>B_cells</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        barcode_sample cell_type\n",
       "0  AGCGATTAGTCTAACC-1_Pla_HDBR10917733   B_cells\n",
       "1  ATCCGTGAGGCTAGAA-1_Pla_Camb10714918   B_cells\n",
       "2  AGTAACCCATTAAAGG-1_Pla_HDBR10917733   B_cells"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metadata = pd.read_csv(meta_file_path, sep = '\\t')\n",
    "metadata.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"color:green\">**2)**</span>  The **counts** files is a scanpy h5ad object. The dimensions and order of this object must coincide with the dimensions of the metadata file (i.e. must have the same number of cells in both files)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3312, 30800)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import anndata\n",
    "\n",
    "adata = anndata.read_h5ad(counts_file_path)\n",
    "adata.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check barcodes in metadata and counts are the same."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(adata.obs.index).sort() == list(metadata['barcode_sample']).sort()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"color:green\">**3)**</span> **Micronevironments** defines the cell types that belong to a a given microenvironment. CellphoneDB will only calculate interactions between cells that belong to a given microenvironment. In this file we are defining just one microenvionment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cell_type</th>\n",
       "      <th>microenvironment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PV MMP11</td>\n",
       "      <td>Env1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PV MYH11</td>\n",
       "      <td>Env1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PV STEAP4</td>\n",
       "      <td>Env1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   cell_type microenvironment\n",
       "0   PV MMP11             Env1\n",
       "1   PV MYH11             Env1\n",
       "2  PV STEAP4             Env1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "microenv = pd.read_csv(microenvs_file_path,\n",
    "                       sep = '\\t')\n",
    "microenv.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Displaying cells grouped per microenvironment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "microenvironment\n",
       "Env1    [PV MMP11, PV MYH11, PV STEAP4, EVT_1, EVT_2, ...\n",
       "Name: cell_type, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "microenv.groupby('microenvironment', group_keys = False)['cell_type'] \\\n",
    "    .apply(lambda x : list(x.value_counts().index))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "____\n",
    "### Run basic analysis\n",
    "The output of this method will be saved in `output_path` and also returned to the predefined variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ ][CORE][29/08/23-14:24:48][INFO] [Non Statistical Method] Threshold:0.1 Precision:3\n",
      "Reading user files...\n",
      "The following user files were loaded successfully:\n",
      "data/normalised_log_counts.h5ad\n",
      "data/metadata.tsv\n",
      "data/microenvironment.tsv\n",
      "[ ][CORE][29/08/23-14:24:52][INFO] Running Basic Analysis\n",
      "[ ][CORE][29/08/23-14:24:52][INFO] Limiting cluster combinations using microenvironments\n",
      "[ ][CORE][29/08/23-14:24:52][INFO] Building results\n",
      "[ ][CORE][29/08/23-14:24:52][INFO] Scoring interactions: Filtering genes per cell type..\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 42/42 [00:00<00:00, 241.61it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ ][CORE][29/08/23-14:24:52][INFO] Scoring interactions: Calculating mean expression of each gene per group/cell type..\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "100%|██████████| 42/42 [00:00<00:00, 715.92it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ ][CORE][29/08/23-14:24:53][INFO] Scoring interactions: Calculating scores for all interactions and cell types..\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 81/81 [00:18<00:00,  4.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved means_result to results/method1/simple_analysis_means_result_08_29_2023_142512.txt\n",
      "Saved deconvoluted to results/method1/simple_analysis_deconvoluted_08_29_2023_142512.txt\n",
      "Saved deconvoluted_percents to results/method1/simple_analysis_deconvoluted_percents_08_29_2023_142512.txt\n",
      "Saved interaction_scores to results/method1/simple_analysis_interaction_scores_08_29_2023_142512.txt\n"
     ]
    }
   ],
   "source": [
    "from cellphonedb.src.core.methods import cpdb_analysis_method\n",
    "\n",
    "cpdb_results = cpdb_analysis_method.call(\n",
    "    cpdb_file_path = cpdb_file_path,           # mandatory: CellphoneDB database zip file.\n",
    "    meta_file_path = meta_file_path,           # mandatory: tsv file defining barcodes to cell label.\n",
    "    counts_file_path = counts_file_path,       # mandatory: normalized count matrix - a path to the counts file, or an in-memory AnnData object\n",
    "    counts_data = 'hgnc_symbol',               # defines the gene annotation in counts matrix.\n",
    "    microenvs_file_path = microenvs_file_path, # optional (default: None): defines cells per microenvironment.\n",
    "    score_interactions = True,                 # optional: whether to score interactions or not. \n",
    "    output_path = out_path,                    # Path to save results    microenvs_file_path = None,\n",
    "    separator = '|',                           # Sets the string to employ to separate cells in the results dataframes \"cellA|CellB\".\n",
    "    threads = 5,                               # number of threads to use in the analysis.\n",
    "    threshold = 0.1,                           # defines the min % of cells expressing a gene for this to be employed in the analysis.\n",
    "    result_precision = 3,                      # Sets the rounding for the mean values in significan_means.\n",
    "    debug = False,                             # Saves all intermediate tables emplyed during the analysis in pkl format.\n",
    "    output_suffix = None                       # Replaces the timestamp in the output files by a user defined string in the  (default: None)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['means_result', 'deconvoluted', 'deconvoluted_percents', 'interaction_scores'])\n"
     ]
    }
   ],
   "source": [
    "print(cpdb_results.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "___\n",
    "### Description of output files\n",
    "Most output files share common columns:\n",
    "- **id_cp_interaction**: Unique CellphoneDB identifier for each interaction stored in the database.\n",
    "- **interacting_pair**: Name of the interacting pairs separated by “|”.\n",
    "- **partner A or B**: Identifier for the first interacting partner (A) or the second (B). It could be: UniProt (prefix simple:) or complex (prefix complex:)\n",
    "- **gene A or B**: Gene identifier for the first interacting partner (A) or the second (B). The identifier will depend on the input user list.\n",
    "- **secreted**: True if one of the partners is secreted.\n",
    "- **Receptor A or B**: True if the first interacting partner (A) or the second (B) is annotated as a receptor in our database.\n",
    "- **annotation_strategy**: Curated if the interaction was annotated by the CellphoneDB developers. Otherwise, the name of the database where the interaction has been downloaded from.\n",
    "- **is_integrin**: True if one of the partners is integrin.\n",
    "- **directionality**: Indiicates the directionality of the interaction and the charactersitics of the interactors.\n",
    "- **classification**: Pathway classification for the interacting partners."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Means** fields:\n",
    "- **means**: Mean values for all the interacting partners: mean value refers to the total mean of the individual partner average expression values in the corresponding interacting pairs of cell types. If one of the mean values is 0, then the total mean is set to 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id_cp_interaction</th>\n",
       "      <th>interacting_pair</th>\n",
       "      <th>partner_a</th>\n",
       "      <th>partner_b</th>\n",
       "      <th>gene_a</th>\n",
       "      <th>gene_b</th>\n",
       "      <th>secreted</th>\n",
       "      <th>receptor_a</th>\n",
       "      <th>receptor_b</th>\n",
       "      <th>annotation_strategy</th>\n",
       "      <th>is_integrin</th>\n",
       "      <th>directionality</th>\n",
       "      <th>classification</th>\n",
       "      <th>PV MMP11|PV MMP11</th>\n",
       "      <th>PV MMP11|PV MYH11</th>\n",
       "      <th>PV MMP11|PV STEAP4</th>\n",
       "      <th>PV MMP11|EVT_1</th>\n",
       "      <th>PV MMP11|EVT_2</th>\n",
       "      <th>PV MMP11|iEVT</th>\n",
       "      <th>PV MMP11|VCT_CCC</th>\n",
       "      <th>PV MMP11|GC</th>\n",
       "      <th>PV MMP11|eEVT</th>\n",
       "      <th>PV MYH11|PV MMP11</th>\n",
       "      <th>PV MYH11|PV MYH11</th>\n",
       "      <th>PV MYH11|PV STEAP4</th>\n",
       "      <th>PV MYH11|EVT_1</th>\n",
       "      <th>PV MYH11|EVT_2</th>\n",
       "      <th>PV MYH11|iEVT</th>\n",
       "      <th>PV MYH11|VCT_CCC</th>\n",
       "      <th>PV MYH11|GC</th>\n",
       "      <th>PV MYH11|eEVT</th>\n",
       "      <th>PV STEAP4|PV MMP11</th>\n",
       "      <th>PV STEAP4|PV MYH11</th>\n",
       "      <th>PV STEAP4|PV STEAP4</th>\n",
       "      <th>PV STEAP4|EVT_1</th>\n",
       "      <th>PV STEAP4|EVT_2</th>\n",
       "      <th>PV STEAP4|iEVT</th>\n",
       "      <th>PV STEAP4|VCT_CCC</th>\n",
       "      <th>PV STEAP4|GC</th>\n",
       "      <th>PV STEAP4|eEVT</th>\n",
       "      <th>EVT_1|PV MMP11</th>\n",
       "      <th>EVT_1|PV MYH11</th>\n",
       "      <th>EVT_1|PV STEAP4</th>\n",
       "      <th>EVT_1|EVT_1</th>\n",
       "      <th>EVT_1|EVT_2</th>\n",
       "      <th>EVT_1|iEVT</th>\n",
       "      <th>EVT_1|VCT_CCC</th>\n",
       "      <th>EVT_1|GC</th>\n",
       "      <th>EVT_1|eEVT</th>\n",
       "      <th>EVT_2|PV MMP11</th>\n",
       "      <th>EVT_2|PV MYH11</th>\n",
       "      <th>EVT_2|PV STEAP4</th>\n",
       "      <th>EVT_2|EVT_1</th>\n",
       "      <th>EVT_2|EVT_2</th>\n",
       "      <th>EVT_2|iEVT</th>\n",
       "      <th>EVT_2|VCT_CCC</th>\n",
       "      <th>EVT_2|GC</th>\n",
       "      <th>EVT_2|eEVT</th>\n",
       "      <th>iEVT|PV MMP11</th>\n",
       "      <th>iEVT|PV MYH11</th>\n",
       "      <th>iEVT|PV STEAP4</th>\n",
       "      <th>iEVT|EVT_1</th>\n",
       "      <th>iEVT|EVT_2</th>\n",
       "      <th>iEVT|iEVT</th>\n",
       "      <th>iEVT|VCT_CCC</th>\n",
       "      <th>iEVT|GC</th>\n",
       "      <th>iEVT|eEVT</th>\n",
       "      <th>VCT_CCC|PV MMP11</th>\n",
       "      <th>VCT_CCC|PV MYH11</th>\n",
       "      <th>VCT_CCC|PV STEAP4</th>\n",
       "      <th>VCT_CCC|EVT_1</th>\n",
       "      <th>VCT_CCC|EVT_2</th>\n",
       "      <th>VCT_CCC|iEVT</th>\n",
       "      <th>VCT_CCC|VCT_CCC</th>\n",
       "      <th>VCT_CCC|GC</th>\n",
       "      <th>VCT_CCC|eEVT</th>\n",
       "      <th>GC|PV MMP11</th>\n",
       "      <th>GC|PV MYH11</th>\n",
       "      <th>GC|PV STEAP4</th>\n",
       "      <th>GC|EVT_1</th>\n",
       "      <th>GC|EVT_2</th>\n",
       "      <th>GC|iEVT</th>\n",
       "      <th>GC|VCT_CCC</th>\n",
       "      <th>GC|GC</th>\n",
       "      <th>GC|eEVT</th>\n",
       "      <th>eEVT|PV MMP11</th>\n",
       "      <th>eEVT|PV MYH11</th>\n",
       "      <th>eEVT|PV STEAP4</th>\n",
       "      <th>eEVT|EVT_1</th>\n",
       "      <th>eEVT|EVT_2</th>\n",
       "      <th>eEVT|iEVT</th>\n",
       "      <th>eEVT|VCT_CCC</th>\n",
       "      <th>eEVT|GC</th>\n",
       "      <th>eEVT|eEVT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CPI-SC0A2DB962D</td>\n",
       "      <td>CDH1_integrin_a2b1_complex</td>\n",
       "      <td>simple:P12830</td>\n",
       "      <td>complex:integrin_a2b1_complex</td>\n",
       "      <td>CDH1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>curated</td>\n",
       "      <td>True</td>\n",
       "      <td>Adhesion-Adhesion</td>\n",
       "      <td>Adhesion by Cadherin</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.071</td>\n",
       "      <td>0.099</td>\n",
       "      <td>0.089</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.099</td>\n",
       "      <td>0.346</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.071</td>\n",
       "      <td>0.060</td>\n",
       "      <td>0.048</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.317</td>\n",
       "      <td>0.131</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.097</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.102</td>\n",
       "      <td>0.124</td>\n",
       "      <td>0.371</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.177</td>\n",
       "      <td>0.165</td>\n",
       "      <td>0.187</td>\n",
       "      <td>0.434</td>\n",
       "      <td>0.321</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.287</td>\n",
       "      <td>0.315</td>\n",
       "      <td>0.305</td>\n",
       "      <td>0.292</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.561</td>\n",
       "      <td>0.193</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.187</td>\n",
       "      <td>0.177</td>\n",
       "      <td>0.164</td>\n",
       "      <td>0.186</td>\n",
       "      <td>0.433</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.198</td>\n",
       "      <td>0.225</td>\n",
       "      <td>0.215</td>\n",
       "      <td>0.203</td>\n",
       "      <td>0.225</td>\n",
       "      <td>0.472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CPI-SC0B5CEA47D</td>\n",
       "      <td>COL10A1_integrin_a2b1_complex</td>\n",
       "      <td>simple:Q03692</td>\n",
       "      <td>complex:integrin_a2b1_complex</td>\n",
       "      <td>COL10A1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>curated</td>\n",
       "      <td>True</td>\n",
       "      <td>Adhesion-Adhesion</td>\n",
       "      <td>Adhesion by Collagen/Integrin</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.041</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.034</td>\n",
       "      <td>0.024</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.034</td>\n",
       "      <td>0.281</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.009</td>\n",
       "      <td>0.037</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.014</td>\n",
       "      <td>0.036</td>\n",
       "      <td>0.283</td>\n",
       "      <td>0.042</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.013</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.282</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.049</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.042</td>\n",
       "      <td>0.289</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  id_cp_interaction               interacting_pair      partner_a  \\\n",
       "0   CPI-SC0A2DB962D     CDH1_integrin_a2b1_complex  simple:P12830   \n",
       "1   CPI-SC0B5CEA47D  COL10A1_integrin_a2b1_complex  simple:Q03692   \n",
       "\n",
       "                       partner_b   gene_a gene_b  secreted  receptor_a  \\\n",
       "0  complex:integrin_a2b1_complex     CDH1    NaN     False       False   \n",
       "1  complex:integrin_a2b1_complex  COL10A1    NaN      True       False   \n",
       "\n",
       "   receptor_b annotation_strategy  is_integrin     directionality  \\\n",
       "0       False             curated         True  Adhesion-Adhesion   \n",
       "1       False             curated         True  Adhesion-Adhesion   \n",
       "\n",
       "                  classification  PV MMP11|PV MMP11  PV MMP11|PV MYH11  \\\n",
       "0           Adhesion by Cadherin                0.0                0.0   \n",
       "1  Adhesion by Collagen/Integrin                0.0                0.0   \n",
       "\n",
       "   PV MMP11|PV STEAP4  PV MMP11|EVT_1  PV MMP11|EVT_2  PV MMP11|iEVT  \\\n",
       "0                 0.0             0.0             0.0            0.0   \n",
       "1                 0.0             0.0             0.0            0.0   \n",
       "\n",
       "   PV MMP11|VCT_CCC  PV MMP11|GC  PV MMP11|eEVT  PV MYH11|PV MMP11  \\\n",
       "0               0.0          0.0            0.0                0.0   \n",
       "1               0.0          0.0            0.0                0.0   \n",
       "\n",
       "   PV MYH11|PV MYH11  PV MYH11|PV STEAP4  PV MYH11|EVT_1  PV MYH11|EVT_2  \\\n",
       "0                0.0                 0.0             0.0             0.0   \n",
       "1                0.0                 0.0             0.0             0.0   \n",
       "\n",
       "   PV MYH11|iEVT  PV MYH11|VCT_CCC  PV MYH11|GC  PV MYH11|eEVT  \\\n",
       "0            0.0               0.0          0.0            0.0   \n",
       "1            0.0               0.0          0.0            0.0   \n",
       "\n",
       "   PV STEAP4|PV MMP11  PV STEAP4|PV MYH11  PV STEAP4|PV STEAP4  \\\n",
       "0               0.105                 0.0                  0.0   \n",
       "1               0.000                 0.0                  0.0   \n",
       "\n",
       "   PV STEAP4|EVT_1  PV STEAP4|EVT_2  PV STEAP4|iEVT  PV STEAP4|VCT_CCC  \\\n",
       "0            0.071            0.099           0.089              0.077   \n",
       "1            0.000            0.000           0.000              0.000   \n",
       "\n",
       "   PV STEAP4|GC  PV STEAP4|eEVT  EVT_1|PV MMP11  EVT_1|PV MYH11  \\\n",
       "0         0.099           0.346           0.077             0.0   \n",
       "1         0.000           0.000           0.041             0.0   \n",
       "\n",
       "   EVT_1|PV STEAP4  EVT_1|EVT_1  EVT_1|EVT_2  EVT_1|iEVT  EVT_1|VCT_CCC  \\\n",
       "0              0.0        0.043        0.071       0.060          0.048   \n",
       "1              0.0        0.006        0.034       0.024          0.012   \n",
       "\n",
       "   EVT_1|GC  EVT_1|eEVT  EVT_2|PV MMP11  EVT_2|PV MYH11  EVT_2|PV STEAP4  \\\n",
       "0     0.070       0.317           0.131             0.0              0.0   \n",
       "1     0.034       0.281           0.000             0.0              0.0   \n",
       "\n",
       "   EVT_2|EVT_1  EVT_2|EVT_2  EVT_2|iEVT  EVT_2|VCT_CCC  EVT_2|GC  EVT_2|eEVT  \\\n",
       "0        0.097        0.125       0.115          0.102     0.124       0.371   \n",
       "1        0.000        0.000       0.000          0.000     0.000       0.000   \n",
       "\n",
       "   iEVT|PV MMP11  iEVT|PV MYH11  iEVT|PV STEAP4  iEVT|EVT_1  iEVT|EVT_2  \\\n",
       "0          0.194            0.0             0.0       0.160       0.188   \n",
       "1          0.043            0.0             0.0       0.009       0.037   \n",
       "\n",
       "   iEVT|iEVT  iEVT|VCT_CCC  iEVT|GC  iEVT|eEVT  VCT_CCC|PV MMP11  \\\n",
       "0      0.177         0.165    0.187      0.434             0.321   \n",
       "1      0.026         0.014    0.036      0.283             0.042   \n",
       "\n",
       "   VCT_CCC|PV MYH11  VCT_CCC|PV STEAP4  VCT_CCC|EVT_1  VCT_CCC|EVT_2  \\\n",
       "0               0.0                0.0          0.287          0.315   \n",
       "1               0.0                0.0          0.007          0.035   \n",
       "\n",
       "   VCT_CCC|iEVT  VCT_CCC|VCT_CCC  VCT_CCC|GC  VCT_CCC|eEVT  GC|PV MMP11  \\\n",
       "0         0.305            0.292       0.314         0.561        0.193   \n",
       "1         0.025            0.013       0.035         0.282        0.000   \n",
       "\n",
       "   GC|PV MYH11  GC|PV STEAP4  GC|EVT_1  GC|EVT_2  GC|iEVT  GC|VCT_CCC  GC|GC  \\\n",
       "0          0.0           0.0     0.159     0.187    0.177       0.164  0.186   \n",
       "1          0.0           0.0     0.000     0.000    0.000       0.000  0.000   \n",
       "\n",
       "   GC|eEVT  eEVT|PV MMP11  eEVT|PV MYH11  eEVT|PV STEAP4  eEVT|EVT_1  \\\n",
       "0    0.433          0.232            0.0             0.0       0.198   \n",
       "1    0.000          0.049            0.0             0.0       0.015   \n",
       "\n",
       "   eEVT|EVT_2  eEVT|iEVT  eEVT|VCT_CCC  eEVT|GC  eEVT|eEVT  \n",
       "0       0.225      0.215         0.203    0.225      0.472  \n",
       "1       0.043      0.032         0.020    0.042      0.289  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cpdb_results['means_result'].head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Interaction scores** fields:\n",
    "- **scores**: Interaction scores ranging between 0 and 100. The higher the score is, the more specific the interaction is expected."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id_cp_interaction</th>\n",
       "      <th>interacting_pair</th>\n",
       "      <th>partner_a</th>\n",
       "      <th>partner_b</th>\n",
       "      <th>gene_a</th>\n",
       "      <th>gene_b</th>\n",
       "      <th>secreted</th>\n",
       "      <th>receptor_a</th>\n",
       "      <th>receptor_b</th>\n",
       "      <th>annotation_strategy</th>\n",
       "      <th>is_integrin</th>\n",
       "      <th>directionality</th>\n",
       "      <th>classification</th>\n",
       "      <th>PV MMP11|PV MMP11</th>\n",
       "      <th>PV MMP11|PV MYH11</th>\n",
       "      <th>PV MMP11|PV STEAP4</th>\n",
       "      <th>PV MMP11|EVT_1</th>\n",
       "      <th>PV MMP11|EVT_2</th>\n",
       "      <th>PV MMP11|iEVT</th>\n",
       "      <th>PV MMP11|VCT_CCC</th>\n",
       "      <th>PV MMP11|GC</th>\n",
       "      <th>PV MMP11|eEVT</th>\n",
       "      <th>PV MYH11|PV MMP11</th>\n",
       "      <th>PV MYH11|PV MYH11</th>\n",
       "      <th>PV MYH11|PV STEAP4</th>\n",
       "      <th>PV MYH11|EVT_1</th>\n",
       "      <th>PV MYH11|EVT_2</th>\n",
       "      <th>PV MYH11|iEVT</th>\n",
       "      <th>PV MYH11|VCT_CCC</th>\n",
       "      <th>PV MYH11|GC</th>\n",
       "      <th>PV MYH11|eEVT</th>\n",
       "      <th>PV STEAP4|PV MMP11</th>\n",
       "      <th>PV STEAP4|PV MYH11</th>\n",
       "      <th>PV STEAP4|PV STEAP4</th>\n",
       "      <th>PV STEAP4|EVT_1</th>\n",
       "      <th>PV STEAP4|EVT_2</th>\n",
       "      <th>PV STEAP4|iEVT</th>\n",
       "      <th>PV STEAP4|VCT_CCC</th>\n",
       "      <th>PV STEAP4|GC</th>\n",
       "      <th>PV STEAP4|eEVT</th>\n",
       "      <th>EVT_1|PV MMP11</th>\n",
       "      <th>EVT_1|PV MYH11</th>\n",
       "      <th>EVT_1|PV STEAP4</th>\n",
       "      <th>EVT_1|EVT_1</th>\n",
       "      <th>EVT_1|EVT_2</th>\n",
       "      <th>EVT_1|iEVT</th>\n",
       "      <th>EVT_1|VCT_CCC</th>\n",
       "      <th>EVT_1|GC</th>\n",
       "      <th>EVT_1|eEVT</th>\n",
       "      <th>EVT_2|PV MMP11</th>\n",
       "      <th>EVT_2|PV MYH11</th>\n",
       "      <th>EVT_2|PV STEAP4</th>\n",
       "      <th>EVT_2|EVT_1</th>\n",
       "      <th>EVT_2|EVT_2</th>\n",
       "      <th>EVT_2|iEVT</th>\n",
       "      <th>EVT_2|VCT_CCC</th>\n",
       "      <th>EVT_2|GC</th>\n",
       "      <th>EVT_2|eEVT</th>\n",
       "      <th>iEVT|PV MMP11</th>\n",
       "      <th>iEVT|PV MYH11</th>\n",
       "      <th>iEVT|PV STEAP4</th>\n",
       "      <th>iEVT|EVT_1</th>\n",
       "      <th>iEVT|EVT_2</th>\n",
       "      <th>iEVT|iEVT</th>\n",
       "      <th>iEVT|VCT_CCC</th>\n",
       "      <th>iEVT|GC</th>\n",
       "      <th>iEVT|eEVT</th>\n",
       "      <th>VCT_CCC|PV MMP11</th>\n",
       "      <th>VCT_CCC|PV MYH11</th>\n",
       "      <th>VCT_CCC|PV STEAP4</th>\n",
       "      <th>VCT_CCC|EVT_1</th>\n",
       "      <th>VCT_CCC|EVT_2</th>\n",
       "      <th>VCT_CCC|iEVT</th>\n",
       "      <th>VCT_CCC|VCT_CCC</th>\n",
       "      <th>VCT_CCC|GC</th>\n",
       "      <th>VCT_CCC|eEVT</th>\n",
       "      <th>GC|PV MMP11</th>\n",
       "      <th>GC|PV MYH11</th>\n",
       "      <th>GC|PV STEAP4</th>\n",
       "      <th>GC|EVT_1</th>\n",
       "      <th>GC|EVT_2</th>\n",
       "      <th>GC|iEVT</th>\n",
       "      <th>GC|VCT_CCC</th>\n",
       "      <th>GC|GC</th>\n",
       "      <th>GC|eEVT</th>\n",
       "      <th>eEVT|PV MMP11</th>\n",
       "      <th>eEVT|PV MYH11</th>\n",
       "      <th>eEVT|PV STEAP4</th>\n",
       "      <th>eEVT|EVT_1</th>\n",
       "      <th>eEVT|EVT_2</th>\n",
       "      <th>eEVT|iEVT</th>\n",
       "      <th>eEVT|VCT_CCC</th>\n",
       "      <th>eEVT|GC</th>\n",
       "      <th>eEVT|eEVT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CPI-SC0A2DB962D</td>\n",
       "      <td>CDH1_integrin_a2b1_complex</td>\n",
       "      <td>simple:P12830</td>\n",
       "      <td>complex:integrin_a2b1_complex</td>\n",
       "      <td>CDH1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>curated</td>\n",
       "      <td>True</td>\n",
       "      <td>Adhesion-Adhesion</td>\n",
       "      <td>Adhesion by Cadherin</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.346</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.843</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.095</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.533</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.911</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.35</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CPI-SC0B5CEA47D</td>\n",
       "      <td>COL10A1_integrin_a2b1_complex</td>\n",
       "      <td>simple:Q03692</td>\n",
       "      <td>complex:integrin_a2b1_complex</td>\n",
       "      <td>COL10A1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>curated</td>\n",
       "      <td>True</td>\n",
       "      <td>Adhesion-Adhesion</td>\n",
       "      <td>Adhesion by Collagen/Integrin</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  id_cp_interaction               interacting_pair      partner_a  \\\n",
       "0   CPI-SC0A2DB962D     CDH1_integrin_a2b1_complex  simple:P12830   \n",
       "1   CPI-SC0B5CEA47D  COL10A1_integrin_a2b1_complex  simple:Q03692   \n",
       "\n",
       "                       partner_b   gene_a gene_b  secreted  receptor_a  \\\n",
       "0  complex:integrin_a2b1_complex     CDH1    NaN     False       False   \n",
       "1  complex:integrin_a2b1_complex  COL10A1    NaN      True       False   \n",
       "\n",
       "   receptor_b annotation_strategy  is_integrin     directionality  \\\n",
       "0       False             curated         True  Adhesion-Adhesion   \n",
       "1       False             curated         True  Adhesion-Adhesion   \n",
       "\n",
       "                  classification  PV MMP11|PV MMP11  PV MMP11|PV MYH11  \\\n",
       "0           Adhesion by Cadherin                0.0                0.0   \n",
       "1  Adhesion by Collagen/Integrin                0.0                0.0   \n",
       "\n",
       "   PV MMP11|PV STEAP4  PV MMP11|EVT_1  PV MMP11|EVT_2  PV MMP11|iEVT  \\\n",
       "0                 0.0             0.0             0.0            0.0   \n",
       "1                 0.0             0.0             0.0            0.0   \n",
       "\n",
       "   PV MMP11|VCT_CCC  PV MMP11|GC  PV MMP11|eEVT  PV MYH11|PV MMP11  \\\n",
       "0               0.0          0.0            0.0                0.0   \n",
       "1               0.0          0.0            0.0                0.0   \n",
       "\n",
       "   PV MYH11|PV MYH11  PV MYH11|PV STEAP4  PV MYH11|EVT_1  PV MYH11|EVT_2  \\\n",
       "0                0.0                 0.0             0.0             0.0   \n",
       "1                0.0                 0.0             0.0             0.0   \n",
       "\n",
       "   PV MYH11|iEVT  PV MYH11|VCT_CCC  PV MYH11|GC  PV MYH11|eEVT  \\\n",
       "0            0.0               0.0          0.0            0.0   \n",
       "1            0.0               0.0          0.0            0.0   \n",
       "\n",
       "   PV STEAP4|PV MMP11  PV STEAP4|PV MYH11  PV STEAP4|PV STEAP4  \\\n",
       "0                 0.0                 0.0                  0.0   \n",
       "1                 0.0                 0.0                  0.0   \n",
       "\n",
       "   PV STEAP4|EVT_1  PV STEAP4|EVT_2  PV STEAP4|iEVT  PV STEAP4|VCT_CCC  \\\n",
       "0              0.0              0.0             0.0                0.0   \n",
       "1              0.0              0.0             0.0                0.0   \n",
       "\n",
       "   PV STEAP4|GC  PV STEAP4|eEVT  EVT_1|PV MMP11  EVT_1|PV MYH11  \\\n",
       "0           0.0          18.346             0.0             0.0   \n",
       "1           0.0           0.000             0.0             0.0   \n",
       "\n",
       "   EVT_1|PV STEAP4  EVT_1|EVT_1  EVT_1|EVT_2  EVT_1|iEVT  EVT_1|VCT_CCC  \\\n",
       "0              0.0          0.0          0.0         0.0            0.0   \n",
       "1              0.0          0.0          0.0         0.0            0.0   \n",
       "\n",
       "   EVT_1|GC  EVT_1|eEVT  EVT_2|PV MMP11  EVT_2|PV MYH11  EVT_2|PV STEAP4  \\\n",
       "0       0.0      10.843             0.0             0.0              0.0   \n",
       "1       0.0       0.000             0.0             0.0              0.0   \n",
       "\n",
       "   EVT_2|EVT_1  EVT_2|EVT_2  EVT_2|iEVT  EVT_2|VCT_CCC  EVT_2|GC  EVT_2|eEVT  \\\n",
       "0          0.0          0.0         0.0            0.0       0.0      25.095   \n",
       "1          0.0          0.0         0.0            0.0       0.0       0.000   \n",
       "\n",
       "   iEVT|PV MMP11  iEVT|PV MYH11  iEVT|PV STEAP4  iEVT|EVT_1  iEVT|EVT_2  \\\n",
       "0            0.0            0.0             0.0         0.0         0.0   \n",
       "1            0.0            0.0             0.0         0.0         0.0   \n",
       "\n",
       "   iEVT|iEVT  iEVT|VCT_CCC  iEVT|GC  iEVT|eEVT  VCT_CCC|PV MMP11  \\\n",
       "0        0.0           0.0      0.0     41.533               0.0   \n",
       "1        0.0           0.0      0.0      0.000               0.0   \n",
       "\n",
       "   VCT_CCC|PV MYH11  VCT_CCC|PV STEAP4  VCT_CCC|EVT_1  VCT_CCC|EVT_2  \\\n",
       "0               0.0                0.0            0.0            0.0   \n",
       "1               0.0                0.0            0.0            0.0   \n",
       "\n",
       "   VCT_CCC|iEVT  VCT_CCC|VCT_CCC  VCT_CCC|GC  VCT_CCC|eEVT  GC|PV MMP11  \\\n",
       "0           0.0              0.0         0.0        74.911          0.0   \n",
       "1           0.0              0.0         0.0         0.000          0.0   \n",
       "\n",
       "   GC|PV MYH11  GC|PV STEAP4  GC|EVT_1  GC|EVT_2  GC|iEVT  GC|VCT_CCC  GC|GC  \\\n",
       "0          0.0           0.0       0.0       0.0      0.0         0.0    0.0   \n",
       "1          0.0           0.0       0.0       0.0      0.0         0.0    0.0   \n",
       "\n",
       "   GC|eEVT  eEVT|PV MMP11  eEVT|PV MYH11  eEVT|PV STEAP4  eEVT|EVT_1  \\\n",
       "0    41.35            0.0            0.0             0.0         0.0   \n",
       "1     0.00            0.0            0.0             0.0         0.0   \n",
       "\n",
       "   eEVT|EVT_2  eEVT|iEVT  eEVT|VCT_CCC  eEVT|GC  eEVT|eEVT  \n",
       "0         0.0        0.0           0.0      0.0     51.391  \n",
       "1         0.0        0.0           0.0      0.0      0.000  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cpdb_results['interaction_scores'].head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Deconvoluted** fields:\n",
    "- **gene_name**: Gene identifier for one of the subunits that are participating in the interaction defined in “means.csv” file. The identifier will depend on the input of the user list.\n",
    "- **uniprot**: UniProt identifier for one of the subunits that are participating in the interaction defined in “means.csv” file.\n",
    "- **is_complex**: True if the subunit is part of a complex. Single if it is not, complex if it is.\n",
    "- **protein_name**: Protein name for one of the subunits that are participating in the interaction defined in “means.csv” file.\n",
    "- **complex_name**: Complex name if the subunit is part of a complex. Empty if not.\n",
    "- **id_cp_interaction**: Unique CellphoneDB identifier for each of the interactions stored in the database.\n",
    "- **mean**: Mean expression of the corresponding gene in each cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene_name</th>\n",
       "      <th>uniprot</th>\n",
       "      <th>is_complex</th>\n",
       "      <th>protein_name</th>\n",
       "      <th>complex_name</th>\n",
       "      <th>id_cp_interaction</th>\n",
       "      <th>gene</th>\n",
       "      <th>B_cells</th>\n",
       "      <th>DC</th>\n",
       "      <th>EVT_1</th>\n",
       "      <th>EVT_2</th>\n",
       "      <th>Endo_F</th>\n",
       "      <th>Endo_L</th>\n",
       "      <th>Endo_M</th>\n",
       "      <th>GC</th>\n",
       "      <th>Granulocytes</th>\n",
       "      <th>HOFB</th>\n",
       "      <th>ILC3</th>\n",
       "      <th>M3</th>\n",
       "      <th>MO</th>\n",
       "      <th>NK</th>\n",
       "      <th>PV MMP11</th>\n",
       "      <th>PV MYH11</th>\n",
       "      <th>PV STEAP4</th>\n",
       "      <th>Plasma</th>\n",
       "      <th>SCT</th>\n",
       "      <th>T_cells</th>\n",
       "      <th>VCT</th>\n",
       "      <th>VCT_CCC</th>\n",
       "      <th>VCT_fusing</th>\n",
       "      <th>VCT_p</th>\n",
       "      <th>dDC</th>\n",
       "      <th>dEpi_lumenal</th>\n",
       "      <th>dEpi_secretory</th>\n",
       "      <th>dM1</th>\n",
       "      <th>dM2</th>\n",
       "      <th>dNK1</th>\n",
       "      <th>dNK2</th>\n",
       "      <th>dNK3</th>\n",
       "      <th>dS1</th>\n",
       "      <th>dS2</th>\n",
       "      <th>dS3</th>\n",
       "      <th>dT_cells</th>\n",
       "      <th>dT_regs</th>\n",
       "      <th>eEVT</th>\n",
       "      <th>fF1</th>\n",
       "      <th>fF2</th>\n",
       "      <th>iEVT</th>\n",
       "      <th>uSMC</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>multidata_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1355</th>\n",
       "      <td>UBASH3B</td>\n",
       "      <td>Q8TF42</td>\n",
       "      <td>True</td>\n",
       "      <td>UBS3B_HUMAN</td>\n",
       "      <td>Dehydroepiandrosterone_bySTS</td>\n",
       "      <td>CPI-CS09B8977D7</td>\n",
       "      <td>UBASH3B</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.621</td>\n",
       "      <td>1.06</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.216</td>\n",
       "      <td>1.424</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.411</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.465</td>\n",
       "      <td>0.068</td>\n",
       "      <td>0.127</td>\n",
       "      <td>0.114</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.161</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.484</td>\n",
       "      <td>0.576</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.608</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.124</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.36</td>\n",
       "      <td>1.134</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.437</td>\n",
       "      <td>0.118</td>\n",
       "      <td>0.224</td>\n",
       "      <td>0.162</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.124</td>\n",
       "      <td>1.182</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.402</td>\n",
       "      <td>0.338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1355</th>\n",
       "      <td>UBASH3B</td>\n",
       "      <td>Q8TF42</td>\n",
       "      <td>True</td>\n",
       "      <td>UBS3B_HUMAN</td>\n",
       "      <td>Dehydroepiandrosterone_bySTS</td>\n",
       "      <td>CPI-CS05760BB78</td>\n",
       "      <td>UBASH3B</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.621</td>\n",
       "      <td>1.06</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.216</td>\n",
       "      <td>1.424</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.411</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.465</td>\n",
       "      <td>0.068</td>\n",
       "      <td>0.127</td>\n",
       "      <td>0.114</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.161</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.484</td>\n",
       "      <td>0.576</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.608</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.124</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.36</td>\n",
       "      <td>1.134</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.437</td>\n",
       "      <td>0.118</td>\n",
       "      <td>0.224</td>\n",
       "      <td>0.162</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.124</td>\n",
       "      <td>1.182</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.402</td>\n",
       "      <td>0.338</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             gene_name uniprot  is_complex protein_name  \\\n",
       "multidata_id                                              \n",
       "1355           UBASH3B  Q8TF42        True  UBS3B_HUMAN   \n",
       "1355           UBASH3B  Q8TF42        True  UBS3B_HUMAN   \n",
       "\n",
       "                              complex_name id_cp_interaction     gene  \\\n",
       "multidata_id                                                            \n",
       "1355          Dehydroepiandrosterone_bySTS   CPI-CS09B8977D7  UBASH3B   \n",
       "1355          Dehydroepiandrosterone_bySTS   CPI-CS05760BB78  UBASH3B   \n",
       "\n",
       "              B_cells   DC  EVT_1  EVT_2  Endo_F  Endo_L  Endo_M     GC  \\\n",
       "multidata_id                                                              \n",
       "1355             0.24  0.0  0.621   1.06   0.105   0.212   0.216  1.424   \n",
       "1355             0.24  0.0  0.621   1.06   0.105   0.212   0.216  1.424   \n",
       "\n",
       "              Granulocytes   HOFB  ILC3     M3     MO     NK  PV MMP11  \\\n",
       "multidata_id                                                             \n",
       "1355                   0.0  0.411  0.25  0.465  0.068  0.127     0.114   \n",
       "1355                   0.0  0.411  0.25  0.465  0.068  0.127     0.114   \n",
       "\n",
       "              PV MYH11  PV STEAP4  Plasma    SCT  T_cells    VCT  VCT_CCC  \\\n",
       "multidata_id                                                                \n",
       "1355               0.0        0.0     0.0  0.161      0.0  0.484    0.576   \n",
       "1355               0.0        0.0     0.0  0.161      0.0  0.484    0.576   \n",
       "\n",
       "              VCT_fusing  VCT_p    dDC  dEpi_lumenal  dEpi_secretory   dM1  \\\n",
       "multidata_id                                                                 \n",
       "1355               0.158  0.454  0.608           0.0           0.124  0.24   \n",
       "1355               0.158  0.454  0.608           0.0           0.124  0.24   \n",
       "\n",
       "               dM2   dNK1   dNK2   dNK3    dS1    dS2    dS3  dT_cells  \\\n",
       "multidata_id                                                             \n",
       "1355          0.36  1.134  0.632  0.437  0.118  0.224  0.162     0.025   \n",
       "1355          0.36  1.134  0.632  0.437  0.118  0.224  0.162     0.025   \n",
       "\n",
       "              dT_regs   eEVT    fF1  fF2   iEVT   uSMC  \n",
       "multidata_id                                            \n",
       "1355            0.124  1.182  0.055  0.0  1.402  0.338  \n",
       "1355            0.124  1.182  0.055  0.0  1.402  0.338  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cpdb_results['deconvoluted'].head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Deconvoluted percents** fields:\n",
    "- **percents**: Percent of cells (clusters) expressing the given gene."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene_name</th>\n",
       "      <th>uniprot</th>\n",
       "      <th>is_complex</th>\n",
       "      <th>protein_name</th>\n",
       "      <th>complex_name</th>\n",
       "      <th>id_cp_interaction</th>\n",
       "      <th>gene</th>\n",
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       "      <th>EVT_1</th>\n",
       "      <th>EVT_2</th>\n",
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       "      <th>Endo_L</th>\n",
       "      <th>Endo_M</th>\n",
       "      <th>GC</th>\n",
       "      <th>Granulocytes</th>\n",
       "      <th>HOFB</th>\n",
       "      <th>ILC3</th>\n",
       "      <th>M3</th>\n",
       "      <th>MO</th>\n",
       "      <th>NK</th>\n",
       "      <th>PV MMP11</th>\n",
       "      <th>PV MYH11</th>\n",
       "      <th>PV STEAP4</th>\n",
       "      <th>Plasma</th>\n",
       "      <th>SCT</th>\n",
       "      <th>T_cells</th>\n",
       "      <th>VCT</th>\n",
       "      <th>VCT_CCC</th>\n",
       "      <th>VCT_fusing</th>\n",
       "      <th>VCT_p</th>\n",
       "      <th>dDC</th>\n",
       "      <th>dEpi_lumenal</th>\n",
       "      <th>dEpi_secretory</th>\n",
       "      <th>dM1</th>\n",
       "      <th>dM2</th>\n",
       "      <th>dNK1</th>\n",
       "      <th>dNK2</th>\n",
       "      <th>dNK3</th>\n",
       "      <th>dS1</th>\n",
       "      <th>dS2</th>\n",
       "      <th>dS3</th>\n",
       "      <th>dT_cells</th>\n",
       "      <th>dT_regs</th>\n",
       "      <th>eEVT</th>\n",
       "      <th>fF1</th>\n",
       "      <th>fF2</th>\n",
       "      <th>iEVT</th>\n",
       "      <th>uSMC</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>multidata_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1355</th>\n",
       "      <td>UBASH3B</td>\n",
       "      <td>Q8TF42</td>\n",
       "      <td>True</td>\n",
       "      <td>UBS3B_HUMAN</td>\n",
       "      <td>Dehydroepiandrosterone_bySTS</td>\n",
       "      <td>CPI-CS09B8977D7</td>\n",
       "      <td>UBASH3B</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.698</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.222</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.385</td>\n",
       "      <td>0.067</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.154</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.464</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.137</td>\n",
       "      <td>0.213</td>\n",
       "      <td>0.283</td>\n",
       "      <td>0.654</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.123</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.021</td>\n",
       "      <td>0.053</td>\n",
       "      <td>0.857</td>\n",
       "      <td>0.048</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.892</td>\n",
       "      <td>0.359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1355</th>\n",
       "      <td>UBASH3B</td>\n",
       "      <td>Q8TF42</td>\n",
       "      <td>True</td>\n",
       "      <td>UBS3B_HUMAN</td>\n",
       "      <td>Dehydroepiandrosterone_bySTS</td>\n",
       "      <td>CPI-CS05760BB78</td>\n",
       "      <td>UBASH3B</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.698</td>\n",
       "      <td>0.583</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.222</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.385</td>\n",
       "      <td>0.067</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.154</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.464</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.137</td>\n",
       "      <td>0.213</td>\n",
       "      <td>0.283</td>\n",
       "      <td>0.654</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.123</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.021</td>\n",
       "      <td>0.053</td>\n",
       "      <td>0.857</td>\n",
       "      <td>0.048</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.892</td>\n",
       "      <td>0.359</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             gene_name uniprot  is_complex protein_name  \\\n",
       "multidata_id                                              \n",
       "1355           UBASH3B  Q8TF42        True  UBS3B_HUMAN   \n",
       "1355           UBASH3B  Q8TF42        True  UBS3B_HUMAN   \n",
       "\n",
       "                              complex_name id_cp_interaction     gene  \\\n",
       "multidata_id                                                            \n",
       "1355          Dehydroepiandrosterone_bySTS   CPI-CS09B8977D7  UBASH3B   \n",
       "1355          Dehydroepiandrosterone_bySTS   CPI-CS05760BB78  UBASH3B   \n",
       "\n",
       "              B_cells   DC  EVT_1  EVT_2  Endo_F  Endo_L  Endo_M     GC  \\\n",
       "multidata_id                                                              \n",
       "1355            0.125  0.0  0.698  0.583     0.2   0.222   0.232  0.789   \n",
       "1355            0.125  0.0  0.698  0.583     0.2   0.222   0.232  0.789   \n",
       "\n",
       "              Granulocytes   HOFB  ILC3     M3     MO     NK  PV MMP11  \\\n",
       "multidata_id                                                             \n",
       "1355                   0.0  0.336  0.16  0.385  0.067  0.115     0.154   \n",
       "1355                   0.0  0.336  0.16  0.385  0.067  0.115     0.154   \n",
       "\n",
       "              PV MYH11  PV STEAP4  Plasma   SCT  T_cells    VCT  VCT_CCC  \\\n",
       "multidata_id                                                               \n",
       "1355               0.0        0.0     0.0  0.27      0.0  0.464    0.647   \n",
       "1355               0.0        0.0     0.0  0.27      0.0  0.464    0.647   \n",
       "\n",
       "              VCT_fusing  VCT_p    dDC  dEpi_lumenal  dEpi_secretory    dM1  \\\n",
       "multidata_id                                                                  \n",
       "1355                0.45  0.552  0.429           0.0           0.137  0.213   \n",
       "1355                0.45  0.552  0.429           0.0           0.137  0.213   \n",
       "\n",
       "                dM2   dNK1   dNK2  dNK3    dS1   dS2    dS3  dT_cells  \\\n",
       "multidata_id                                                            \n",
       "1355          0.283  0.654  0.344   0.3  0.123  0.24  0.354     0.021   \n",
       "1355          0.283  0.654  0.344   0.3  0.123  0.24  0.354     0.021   \n",
       "\n",
       "              dT_regs   eEVT    fF1  fF2   iEVT   uSMC  \n",
       "multidata_id                                            \n",
       "1355            0.053  0.857  0.048  0.0  0.892  0.359  \n",
       "1355            0.053  0.857  0.048  0.0  0.892  0.359  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cpdb_results['deconvoluted_percents'].head(2)"
   ]
  }
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