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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 data
Papers that mentioned: 139
Very Likely Science (100)
bioconductor: EBSeq
An R package for gene and isoform differential expression analysis of RNA-seq data
Papers that mentioned: 261
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: NOISeq
Exploratory analysis and differential expression for RNA-seq data
Papers that mentioned: 321
Very Likely Science (100)
bioconductor: sSeq
Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample size
Papers that mentioned: 8
Very Likely Science (68)
cran: PoissonSeq
Papers that mentioned: 30
Unlikely Science (0)