Two-phase differential expression analysis for single cell RNA-seq.

ABSTRACT:

Motivation

Single-cell RNA-sequencing (scRNA-seq) has brought the study of the transcriptome to higher resolution and makes it possible for scientists to provide answers with more clarity to the question of 'differential expression'. However, most computational methods still stick with the old mentality of viewing differential expression as a simple 'up or down' phenomenon. We advocate that we should fully embrace the features of single cell data, which allows us to observe binary (from Off to On) as well as continuous (the amount of expression) regulations.

Results

We develop a method, termed SC2P, that first identifies the phase of expression a gene is in, by taking into account of both cell- and gene-specific contexts, in a model-based and data-driven fashion. We then ide

SUBMITTER: Wu Z 

PROVIDER: S-EPMC6157076 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature