PROPER: comprehensive power evaluation for differential expression using RNA-seq
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Title
PROPER: comprehensive power evaluation for differential expression using RNA-seq
Authors
Keywords
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Journal
BIOINFORMATICS
Volume 31, Issue 2, Pages 233-241
Publisher
Oxford University Press (OUP)
Online
2014-10-02
DOI
10.1093/bioinformatics/btu640
References
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Note: Only part of the references are listed.- RNA-seq differential expression studies: more sequence or more replication?
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- A new shrinkage estimator for dispersion improves differential expression detection in RNA-seq data
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- Landscape of transcription in human cells
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- ReCount: A multi-experiment resource of analysis-ready RNA-seq gene count datasets
- (2011) Alyssa C Frazee et al. BMC BIOINFORMATICS
- Design and validation issues in RNA-seq experiments
- (2011) Z. Fang et al. BRIEFINGS IN BIOINFORMATICS
- Sequencing technology does not eliminate biological variability
- (2011) Kasper D Hansen et al. NATURE BIOTECHNOLOGY
- Evaluating Gene Expression in C57BL/6J and DBA/2J Mouse Striatum Using RNA-Seq and Microarrays
- (2011) Daniel Bottomly et al. PLoS One
- The Gene Expression Barcode: leveraging public data repositories to begin cataloging the human and murine transcriptomes
- (2010) Matthew N. McCall et al. NUCLEIC ACIDS RESEARCH
- Polymorphic Cis- and Trans-Regulation of Human Gene Expression
- (2010) Vivian G. Cheung et al. PLOS BIOLOGY
- Differential expression analysis for sequence count data
- (2010) Simon Anders et al. GENOME BIOLOGY
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
- (2009) M. D. Robinson et al. BIOINFORMATICS
- Transcript length bias in RNA-seq data confounds systems biology
- (2009) Alicia Oshlack et al. Biology Direct
- Mapping and quantifying mammalian transcriptomes by RNA-Seq
- (2008) Ali Mortazavi et al. NATURE METHODS
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