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This package is for version 3.20 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see RnaSeqSampleSize.


Bioconductor version: Development (3.20)

RnaSeqSampleSize package provides a sample size calculation method based on negative binomial model and the exact test for assessing differential expression analysis of RNA-seq data. It controls FDR for multiple testing and utilizes the average read count and dispersion distributions from real data to estimate a more reliable sample size. It is also equipped with several unique features, including estimation for interested genes or pathway, power curve visualization, and parameter optimization.

Author: Shilin Zhao Developer [aut, cre], Chung-I Li [aut], Yan Guo [aut], Quanhu Sheng [aut], Yu Shyr [aut]

Maintainer: Shilin Zhao Developer <zhaoshilin at>

Citation (from within R, enter citation("RnaSeqSampleSize")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

RnaSeqSampleSize: Sample size estimation by real data PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, ExperimentalDesign, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software
Version 2.15.0
In Bioconductor since BioC 3.1 (R-3.2) (9.5 years)
License GPL (>= 2)
Depends R (>= 4.0.0), ggplot2, RnaSeqSampleSizeData
Imports biomaRt, edgeR, heatmap3, matlab, KEGGREST, methods, grDevices, graphics, stats, Rcpp (>= 0.11.2), recount, ggpubr, SummarizedExperiment, tidyr, dplyr, tidyselect, utils
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Follow Installation instructions to use this package in your R session.

Source Package RnaSeqSampleSize_2.15.0.tar.gz
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macOS Binary (x86_64) RnaSeqSampleSize_2.15.0.tgz
macOS Binary (arm64) RnaSeqSampleSize_2.15.0.tgz
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