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ssizeRNA (version 1.3.3)

Sample Size Calculation for RNA-Seq Experimental Design

Description

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("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")'.

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Version

Install

install.packages('ssizeRNA')

Monthly Downloads

282

Version

1.3.3

License

GPL (>= 2)

Maintainer

Ran Bi

Last Published

April 8th, 2025

Functions in ssizeRNA (1.3.3)

sim.counts

RNA-seq Count Data Simulation from Negative-Binomial Distribution
ssizeRNA_vary

Sample Size Calculations for Two-Sample RNA-seq Experiments with Differing Mean and Dispersion Among Genes
check.power

Average Power and True FDR Based on limma/voom RNAseq Analysis Pipeline
hammer.eset

RNA-seq data from Hammer, P. et al., 2010
ssize.twoSampVaryDelta

Sample Size Calculations for Two-Sample Microarray Experiments with Differing Mean Expressions but fixed Standard Deviations Among Genes
ssizeRNA_single

Sample Size Calculations for Two-Sample RNA-seq Experiments with Single Set of Parameters