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Papers: 10.1186/s12859-017-1648-2

https://doi.org/10.1186/s12859-017-1648-2

Power analysis for RNA-Seq differential expression studies

Cited by: 27
Author(s): Lianbo Yu, Soledad Fernández, Guy Brock
Published: about 8 years ago

Software Mentions 4

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
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: PROPER
PROspective Power Evaluation for RNAseq
Papers that mentioned: 25
Very Likely Science (98)
bioconductor: RnaSeqSampleSize
RnaSeqSampleSize
Papers that mentioned: 13
Very Likely Science (90)