PREDA

DOI: 10.18129/B9.bioc.PREDA  

Position Related Data Analysis

Bioconductor version: Release (3.16)

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

Author: Francesco Ferrari <francesco.ferrari at ifom.eu>

Maintainer: Francesco Ferrari <francesco.ferrari at ifom.eu>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("PREDA")

For older versions of R, please refer to the appropriate Bioconductor release.

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	R Script	PREDA tutorial
PDF		Reference Manual

Details

biocViews	CopyNumberVariation, GeneExpression, Genetics, Software
Version	1.44.0
In Bioconductor since	BioC 2.9 (R-2.14) (11.5 years)
License	GPL-2
Depends	R (>= 2.9.0), Biobase, lokern (>= 1.0.9), multtest, stats, methods, annotate
Imports
LinkingTo
Suggests	quantsmooth, qvalue, limma, caTools, affy, PREDAsampledata
SystemRequirements
Enhances	Rmpi, rsprng
URL
Depends On Me	PREDAsampledata
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	PREDA_1.44.0.tar.gz
Windows Binary	PREDA_1.44.0.zip
macOS Binary (x86_64)	PREDA_1.44.0.tgz
macOS Binary (arm64)	PREDA_1.44.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/PREDA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/PREDA
Bioc Package Browser	https://code.bioconductor.org/browse/PREDA/
Package Short Url	https://bioconductor.org/packages/PREDA/
Package Downloads Report	Download Stats