seuratOnline
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Updated
Oct 28, 2018 - R
seuratOnline
A effort to collect all of the scRNA imputation methods and allow them to interface with scRNA-seq libraries (i. e. Seurat, SingleCellAssay, etc...)
Hello there! Some code on how to merge >2 Seurat objects and maintain object identity :)
Plot_ly-based plotting functions for use with Seurat objects
In the past several months, I have been having multiple interview done. Almost all the HM gave me some kind of challenge projects/analysis work. All were performed using public available datasets. Topics are mostly very diverse. Essence are all the same. How to utilize genomics/bioinformatics approaches to tackle a certain question, mostly biolo…
An Extension Package for Seurat scSeq analysis
This is a web-based interactive (wizard style) application to perform a guided single-cell RNA-seq data analysis and clustering based on Seurat.
Source Code for Single-Cell RNA-Seq Data Analysis
Create violin plots of gene expression for multiple genes
Display gene expression along a given reduced dimension on a heatmap
Cluster-specific pseudo-bulk analysis of 10X single-cell RNA-seq data by connecting Seurat to the VBC RNA-seq pipeline.
NASQAR: A web-based platform for High-throughput sequencing data analysis and visualization
Project includes an R pipeline created using Bioconductor and Seurat to preprocess and clean scRNA sequence datasets, perform Principal Component Analysis and identify anomalous differential gene expression.(In Progress)
A web-based interactive (wizard style) application to perform a guided single-cell RNA-seq data analysis and clustering based on Seurat v3
R package: {rfca} Random forest-based cell annotation methods for scRNAseq analysis. {rfca} contains methods which identifies cell types using machine learning trained on a diversity of cell types, without the need for a labelled training dataset. It also allows you to train your own cell prediction models with your own labels (cell type, subtyp…
Pipeline for bulk tissue cell-type deconvolution using single-cell RNA-seq as reference
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