A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data

Yusha Liu, Peter Carbonetto, Michihiro Takahama +4

Detecting differences in gene expression is an important part of single-cell RNA sequencing experiments, and many statistical methods have been developed for this aim. Most differe…