To install this package, start R and enter:

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

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

PREDA

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see PREDA.

Position RElated Data Anlysis

Bioconductor version: 3.2

Package for the position related analysis of quantitative functional genomics data.

Author: Francesco Ferrari <francesco.ferrari at unimore.it>

Maintainer: Francesco Ferrari <francesco.ferrari at unimore.it>

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

To install this package, start R and enter:

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

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

browseVignettes("PREDA")

biocViews	CopyNumberVariation, GeneExpression, Genetics, Software
Version	1.16.0
In Bioconductor since	BioC 2.9 (R-2.14) (4.5 years)
License	GPL-2
Depends	R (>= 2.9.0), Biobase, lokern (>= 1.0.9), multtest, stats, methods, annotate
Imports
LinkingTo
Suggests	quantsmooth, qvalue, samr, limma, caTools, affy, PREDAsampledata
SystemRequirements
Enhances	Rmpi, rsprng
URL
Depends On Me	PREDAsampledata
Imports Me
Suggests Me
Build Report

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

Package Source	PREDA_1.16.0.tar.gz
Windows Binary	PREDA_1.16.0.zip
Mac OS X 10.6 (Snow Leopard)	PREDA_1.16.0.tgz
Mac OS X 10.9 (Mavericks)	PREDA_1.16.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/PREDA/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/PREDA/
Package Downloads Report	Download Stats

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