Error estimates for the analysis of differential expression from RNA-seq count data
Author:
Affiliation:
1. Mathematical Sciences Institute, Australian National University, Canberra, Australia
2. School of Mathematics and Statistics, University of New South Wales, Sydney, Australia
Publisher
PeerJ
Subject
General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience
Link
https://peerj.com/articles/576.pdf
Reference28 articles.
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3. Evaluating gene expression in C57BL/6J and DBA/2J mouse striatum using RNA-seq and microarrays;Bottomly;PLoS ONE,2011
4. A comprehensive evaluation of normalization methods for illumina high-throughput RNA sequencing data analysis;Dillies;Briefings in Bioinformatics,2013
5. Two-sided P-values from discrete asymmetric distributions based on uniformly most powerful unbiased tests;Dunne;The Statistician,1996
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