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

   

PROspective Power Evaluation for RNAseq

Bioconductor version: 3.2

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

Details

biocViews DifferentialExpression, RNASeq, Sequencing, Software
Version 1.2.0
In Bioconductor since BioC 3.1 (R-3.2) (1 year)
License GPL
Depends R (>= 2.10)
Imports edgeR
LinkingTo
Suggests BiocStyle, DESeq, DSS
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_1.2.0.tar.gz
Windows Binary PROPER_1.2.0.zip
Mac OS X 10.6 (Snow Leopard) PROPER_1.2.0.tgz
Mac OS X 10.9 (Mavericks) PROPER_1.2.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/PROPER/tree/release-3.2
Package Short Url http://bioconductor.org/packages/PROPER/
Package Downloads Report Download Stats

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