To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PROPER")

In most cases, you don't need to download the package archive at all.

PROPER

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see PROPER.

PROspective Power Evaluation for RNAseq

Bioconductor version: 3.4

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 emory.edu>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PROPER")

Documentation

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

browseVignettes("PROPER")

 

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

Details

biocViews DifferentialExpression, RNASeq, Sequencing, Software
Version 1.6.0
In Bioconductor since BioC 3.1 (R-3.2) (2 years)
License GPL
Depends R (>= 2.10)
Imports edgeR
LinkingTo
Suggests BiocStyle, DESeq, DSS, knitr
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source PROPER_1.6.0.tar.gz
Windows Binary PROPER_1.6.0.zip
Mac OS X 10.9 (Mavericks) PROPER_1.6.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/PROPER/tree/release-3.4
Package Short Url http://bioconductor.org/packages/PROPER/
Package Downloads Report Download Stats

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