Sample Size Calculation for RNA-Seq Experimental Design R package ssizeRNA version 1.3.3 CRAN Task View: ExperimentalDesign (https://CRAN.R-project.org/view=ExperimentalDesign) We propose a procedure for sample size calculation while controlling false discovery rate for RNA-seq experimental design. Our procedure depends on the Voom method proposed for RNA-seq data analysis by Law et al. (2014) <DOI:10.1186/gb-2014-15-2-r29> and the sample size calculation method proposed for microarray experiments by Liu and Hwang (2007) <DOI:10.1093/bioinformatics/btl664>. We develop a set of functions that calculates appropriate sample sizes for two-sample t-test for RNA-seq experiments with fixed or varied set of parameters. The outputs also contain a plot of power versus sample size, a table of power at different sample sizes, and a table of critical test values at different sample sizes. To install this package, please use 'source("http://bioconductor.org/biocLite.R"); biocLite("ssizeRNA")'. For R version 3.5 or greater, please use 'if(!requireNamespace("BiocManager", quietly = TRUE)){install.packages("BiocManager")}; BiocManager::install("ssizeRNA")'. Software Depends: R (>= 3.2.3) Imports: MASS, Biobase, edgeR, limma, qvalue, ssize.fdr, graphics, stats Suggests: knitr Ran Bi <biranpier@gmail.com> Comprehensive R Archive Network (CRAN) Ran Bi [aut, cre], Peng Liu [aut], Tim Triche [ctb] GPL (>= 2) 2025-04-08 application/tgz https://CRAN.R-project.org/package=ssizeRNA doi:10.32614/CRAN.package.ssizeRNA