Sample Size Calculation for RNA-Seq Experimental Design

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) and the sample size calculation method proposed for microarray experiments by Liu and Hwang (2007) . 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(""); biocLite("ssizeRNA")'. For R version 3.5 or greater, please use 'if(!requireNamespace("BiocManager", quietly = TRUE)){install.packages("BiocManager")}; BiocManager::install("ssizeRNA")'.


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1.3.2 by Ran Bi, a year ago

Browse source code at

Authors: Ran Bi [aut, cre] , Peng Liu [aut] , Tim Triche [ctb]

Documentation:   PDF Manual  

Task views: Design of Experiments (DoE) & Analysis of Experimental Data

GPL (>= 2) license

Imports MASS, Biobase, edgeR, limma, qvalue, ssize.fdr, graphics, stats

Suggests knitr

See at CRAN