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 is the development version of PREDA; for the stable release version, see PREDA.

Position RElated Data Anlysis

Bioconductor version: Development (3.4)

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")):

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("PREDA")

 

PDF PREDA S4-classes
PDF PREDA tutorial
PDF   Reference Manual

Details

biocViews CopyNumberVariation, GeneExpression, Genetics, Software
Version 1.19.0
In Bioconductor since BioC 2.9 (R-2.14) (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  

Package Archives

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

Package Source PREDA_1.19.0.tar.gz
Windows Binary
Mac OS X 10.9 (Mavericks) PREDA_1.19.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/PREDA
Package Short Url http://bioconductor.org/packages/PREDA/
Package Downloads Report Download Stats

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