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PROspective Power Evaluation for RNAseq

Bioconductor version: Release (3.19)

This package provide simulation based methods for evaluating the statistical power in differential expression analysis from RNA-seq data.

Author: Hao Wu

Maintainer: Hao Wu <hao.wu at>

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


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

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


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:

Power and Sample size analysis for gene expression from RNA-seq PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, ImmunoOncology, RNASeq, Sequencing, Software
Version 1.36.0
In Bioconductor since BioC 3.1 (R-3.2) (9.5 years)
License GPL
Depends R (>= 3.3)
Imports edgeR
System Requirements
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Suggests BiocStyle, DESeq2, DSS, knitr
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Depends On Me
Imports Me cypress
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Follow Installation instructions to use this package in your R session.

Source Package PROPER_1.36.0.tar.gz
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macOS Binary (x86_64) PROPER_1.36.0.tgz
macOS Binary (arm64) PROPER_1.36.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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