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: | 1.3.2 |
| Depends: | R (≥ 3.2.3) |
| Imports: | MASS, Biobase, edgeR, limma, qvalue, ssize.fdr, graphics, stats |
| Suggests: | knitr |
| Published: | 2019-08-20 |
| 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 |
| Reference manual: | ssizeRNA.pdf |
| Vignettes: |
Sample Size Calculation for RNA-Seq Experimental Design |
| Package source: | ssizeRNA_1.3.2.tar.gz |
| Windows binaries: | r-devel: ssizeRNA_1.3.2.zip, r-release: ssizeRNA_1.3.2.zip, r-oldrel: ssizeRNA_1.3.2.zip |
| macOS binaries: | r-release: ssizeRNA_1.3.2.tgz, r-oldrel: ssizeRNA_1.3.2.tgz |
| Old sources: | ssizeRNA archive |
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