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")):

To install this package, start R and enter:

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

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

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

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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