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Statistical methods on detecting differentially expressed genes for RNA-seq data

Published:2011 Issue:Suppl 3 Volume:5 Page:S1
ISSN:1752-0509
Container-title:BMC Systems Biology
language:en
Short-container-title:BMC Systems Biology

Author:

Chen Zhongxue,Liu Jianzhong,Ng Hon,Nadarajah Saralees,Kaufman Howard L,Yang Jack Y,Deng Youping

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Modeling and Simulation,Structural Biology

Reference15 articles.

1. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments

2. Genome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling

3. RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays

4. RNA-Seq: a revolutionary tool for transcriptomics

5. A scaling normalization method for differential expression analysis of RNA-seq data

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