Embracing the dropouts in single-cell RNA-seq analysis

Abstract

The analysis of RNA-seq data is complicated by dropouts, and these are usually treated as a problem to be addressed. Here, Peng Qiu uses dropouts as a source of information and presents a co-occurrence clustering algorithm to cluster cells based on the dropout pattern; this could be a complementary approach to existing methods.