Code and data accompanying the GSFA paper on Bayesian sparse factor analysis on single-cell CRISPR screen data

This repository contains code and data resources to accompany our research paper:

Yifan Zhou, Kaixuan Luo, Lifan Liang, Mengjie Chen and Xin He. A novel Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening. bioRxiv doi: 10.1101/2022.02.13.480282 (2022).

Introduction

Motivation and introduction for the GSFA model;

Application of GSFA on LUHMES CROP-seq data

Preprocessing of CROP-seq data and GSFA application;

Interpretation of GSFA results;

Application of GSFA on CD8+ T cell CROP-seq data

Preprocessing of CROP-seq data and GSFA application;

Interpretation of GSFA results;

Check out our GSFA R package at

https://xinhe-lab.github.io/GSFA/.