A comparison of statistical methods for detecting differentially expressed genes from RNA‐seq data
Author:
Affiliation:
1. Department of Statistics, Iowa State University, Snedecor Hall, Ames, Iowa 50011‐1210 USA
Funder
National Science Foundation
Publisher
Wiley
Subject
Plant Science,Genetics,Ecology, Evolution, Behavior and Systematics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.3732/ajb.1100340
Reference29 articles.
1. Differential expression analysis for sequence count data
2. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
3. Improved statistical tests for differential gene expression by shrinking variance components estimates
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