Stability of methods for differential expression analysis of RNA-seq data
Author:
Funder
National Natural Science Foundation of China
Hong Kong Polytechnic University
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Biotechnology
Link
http://link.springer.com/content/pdf/10.1186/s12864-018-5390-6.pdf
Reference27 articles.
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3. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for rna-seq data with deseq2. Genome Biol. 2014; 15:550.
4. Yu D, Huber W, Vitek O. Shrinkage estimation of dispersion in negative binomial models for rna-seq experiments with small sample size. Bioinformatics. 2013; 29:1275–82.
5. Leng N, Dawson JA, Thomson JA, Ruotti V, Rissman AI, Smits BMG, Haag JD, Gould MN, Stewart RM, Kendziorski C. Ebseq: an empirical bayes hierarchical model for inference in rna-seq experiments. Bioinformatics. 2013; 29:1035–43.
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