Another review of methods for detecting differentially expressed genes from RNA-Seq data

Here, researchers from Iowa State University compare four recently proposed statistical methods, edgeR, DESeq, baySeq, and a method with a two-stage Poisson model (TSPM), through a variety of simulations that were based on different distribution models or real data. They compared the ability of these methods to detect DE genes in terms of the significance ranking of genes and false discovery rate control. All methods compared are implemented in freely available software.

  • Kvam VM, Liu P, Si Y. (2012) A comparison of statistical methods for detecting differentially expressed genes from RNA-seq data. Am J Bot [Epub ahead of print]. [article]