Comparison of RNA-Seq Differential Expression Methods

Abstract

There are many methods designed to find differentially expressed genes using RNA-seq data. Their outputs differ a lot, some genes are determined to be differentially expressed by most or all methods, and others - by very few or even by just one method. Here we derive a systematic approach to quantifying the proximity of such methods, allowing us also to discover patterns and to determine whether some of them are significantly different than others.

Keywords

• partially ranked lists
• rna-seq
• high-throughput sequencing
• ngs
• differential expression