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Papers: 10.1186/1471-2105-11-422

https://doi.org/10.1186/1471-2105-11-422

baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data

Cited by: 677
Author(s): Thomas J. Hardcastle, Krystyna A. Kelly
Published: almost 15 years ago

Software Mentions 3

bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count data
Papers that mentioned: 139
Very Likely Science (100)
bioconductor: DEGseq
Identify Differentially Expressed Genes from RNA-seq data
Papers that mentioned: 697
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)