Article

A novel Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening

2022-02-13

Abstract excerpt

CRISPR screening coupled with single-cell RNA-sequencing has emerged as a powerful tool to characterize the effects of genetic perturbations on the whole transcriptome at a single-cell level. However, due to the sparsity and complex structure of data, analysis of single-cell CRISPR screening data remains challenging. In particular, standard differential expression analysis methods are often under-powered to detect...

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Literature Corpus work: 60b3d3b5-7dc2-5bf1-84c2-91eee01ebb98
DOI: 10.1101/2022.02.13.480282

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