Papers: 10.1371/journal.pone.0232271
https://doi.org/10.1371/journal.pone.0232271
Benchmarking RNA-seq differential expression analysis methods using spike-in and simulation data
Cited by: 20
Author(s): Bukyung Baik, Susan A. Yoon, Dougu Nam
Published: about 5 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: DESeq2
Differential gene expression analysis based on the negative binomial distributionPapers that mentioned: 9,583
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
Very Likely Science (78)
Very Likely Science (90)
cran: PoissonSeq
Papers that mentioned: 30
Unlikely Science (0)
Very Likely Science (65)
Very Likely Science (65)