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Papers: 10.1186/s12859-016-0994-9

https://doi.org/10.1186/s12859-016-0994-9

Sample size calculation while controlling false discovery rate for differential expression analysis with RNA-sequencing experiments

Cited by: 79
Author(s): Ran Bi, Peng Liu
Published: over 9 years ago

Software Mentions 9

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: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
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)
cran: QuasiSeq
Analyzing RNA Sequencing Count Tables Using Quasi-Likelihood
Papers that mentioned: 22
Very Likely Science (85)
cran: ssize.fdr
Sample Size Calculations for Microarray Experiments
Papers that mentioned: 4
Very Likely Science (93)
cran: ssizeRNA
Sample Size Calculation for RNA-Seq Experimental Design
Papers that mentioned: 4
Very Likely Science (85)
pypi: voom
A python message bus that you can put 4 million volts through.
Papers that mentioned: 136
Likely Science (40)