Papers: 10.1186/1471-2164-15-S10-S7
https://doi.org/10.1186/1471-2164-15-S10-S7
LFCseq: a nonparametric approach for differential expression analysis of RNA-seq data
Cited by: 16
Author(s): Bingqing Lin, Lifeng Zhang, Xin Chen
Published: over 10 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: EBSeq
An R package for gene and isoform differential expression analysis of RNA-seq dataPapers that mentioned: 261
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
bioconductor: NOISeq
Exploratory analysis and differential expression for RNA-seq dataPapers that mentioned: 321
Very Likely Science (100)
bioconductor: sSeq
Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample sizePapers that mentioned: 8
Very Likely Science (68)
cran: PoissonSeq
Papers that mentioned: 30
Unlikely Science (0)