Papers: 10.1155/2013/203681
https://doi.org/10.1155/2013/203681
Time Series Expression Analyses Using RNA-seq: A Statistical Approach
Cited by: 23
Author(s): Sangwon Oh, Seongho Song, Gregory A. Grabowski, Hongyu Zhao, James P. Noonan
Published: over 13 years ago
Software Mentions 6
bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count dataPapers that mentioned: 139
Very Likely Science (100)
bioconductor: DEGseq
Identify Differentially Expressed Genes from RNA-seq dataPapers that mentioned: 697
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bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
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Very Likely Science (100)
Very Likely Science (90)