An iteration normalization and test method for differential expression analysis of RNA-seq data.

ABSTRACT:

Background

Next generation sequencing technologies are powerful new tools for investigating a wide range of biological and medical questions. Statistical and computational methods are key to analyzing massive and complex sequencing data. In order to derive gene expression measures and compare these measures across samples or libraries, we first need to normalize read counts to adjust for varying sample sequencing depths and other potentially technical effects.

Results

In this paper, we develop a normalization method based on iterating median of M-values (IMM) for detecting the differentially expressed (DE) genes. Compared to a previous approach TMM, the IMM method improves the accuracy of DE detection. Simulation studies show that the IMM method outperforms other methods for

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC4181730 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature