Papers: 10.1186/gb-2013-14-9-r95
https://doi.org/10.1186/gb-2013-14-9-r95
Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data
Cited by: 594
Author(s): Franck Rapaport, Raya Khanin, Yupu Liang, Mono Pirun, Azra Krek, Paul Zumbo, Christopher E. Mason, Nicholas D. Socci, Doron Betel
Published: over 12 years ago
Software Mentions 8
bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count dataPapers that mentioned: 139
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
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cran: NB
Maximum Likelihood method in estimating effective population size from genetic dataPapers that mentioned: 17
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cran: PoissonSeq
Papers that mentioned: 30
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pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assaysPapers that mentioned: 3,071
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