PredAPP source code

Web server: http://PredAPP.xialab.info

Email: jfxia@ahu.edu.cn

The repo is organised as follows:

• /static: Folder containing all static files in the project

• /Models: folder containing the 9 machine-learning models employed for the predictions in .pkl format.

• /templates: folder with the HTML files of the project

• /datasets:

  • Training.fasta: Training dataset for PredAPP in Fasta format
  • Test.fasta: Independent test dataset for PredAPP in Fasta format

• requirements.txt: environment file with all dependencies needed to run the project

• app.py: Flask application for PredAPP

• Features.py: Python script for feature engineering

• PredAPP.py: Python script for machine learning model construction and evaluation

Installation

• Requirement

  OS：

  • Windows ：Windows7 or later

  • Linux：Ubuntu 16.04 LTS or later

  Python：

  • Python >= 3.6

• Download PredAPPto your computer

  git clone https://github.com/xialab-ahu/PredAPP.git

• open the dir and install requirement.txt with pip

  cd PredAPP
  pip install -r requirement.txt
  

Run

python -m flask run

Open the browser, open the url：http://127.0.0.1/5000