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")'.
Version: 1.3.3 Depends: R (≥ 3.2.3) Imports: MASS, Biobase, edgeR, limma, qvalue, ssize.fdr, graphics, stats Suggests: knitr Published: 2025-04-08 DOI: 10.32614/CRAN.package.ssizeRNA Author: Ran Bi [aut, cre], Peng Liu [aut], Tim Triche [ctb] Maintainer: Ran Bi <biranpier at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no In views: ExperimentalDesign CRAN checks: ssizeRNA results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=ssizeRNA to link to this page.
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