SimSeq: a nonparametric approach to simulation of RNA-sequence datasets-Reference-Cited by-同舟云学术

SimSeq: a nonparametric approach to simulation of RNA-sequence datasets

Published:2015-02-26 Issue:13 Volume:31 Page:2131-2140
ISSN:1460-2059
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Benidt Sam,Nettleton Dan

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/31/13/2131/17122574/btv124.pdf

Reference28 articles.

1. Differential expression analysis for sequence count data;Anders;Genome Biol.,2010

2. Gene ontology: tool for the unification of biology;Ashburner;Nat. Genet.,2000

3. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;J. R. Stat. Soc. B,1995

4. Evaluating gene expression in c57bl/6j and dba/2j mouse striatum using rna-seq and microarrays;Bottomly;PLoS One,2011

5. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments;Bullard;BMC Bioinformatics,2010

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