Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods.

ABSTRACT: The sequencing of the transcriptomes of single-cells, or single-cell RNA-sequencing, has now become the dominant technology for the identification of novel cell types and for the study of stochastic gene expression. In recent years, various tools for analyzing single-cell RNA-sequencing data have been proposed, many of them with the purpose of performing differentially expression analysis. In this work, we compare four different tools for single-cell RNA-sequencing differential expression, together with two popular methods originally developed for the analysis of bulk RNA-sequencing data, but largely applied to single-cell data. We discuss results obtained on two real and one synthetic dataset, along with considerations about the perspectives of single-cell differential expression analysis

SUBMITTER: Dal Molin A 

PROVIDER: S-EPMC5440469 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature