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PREDA

Position Related Data Analysis


Bioconductor version: Release (3.18)

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>

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

Installation

To install this package, start R (version "4.3") 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")
PREDA S4-classes PDF
PREDA tutorial PDF R Script
Reference Manual PDF

Details

biocViews CopyNumberVariation, GeneExpression, Genetics, Software
Version 1.48.0
In Bioconductor since BioC 2.9 (R-2.14) (12.5 years)
License GPL-2
Depends R (>= 2.9.0), Biobase, lokern (>= 1.0.9), multtest, stats, methods, annotate
Imports
System Requirements
URL
See More
Suggests quantsmooth, qvalue, limma, caTools, affy, PREDAsampledata
Linking To
Enhances Rmpi, rsprng
Depends On Me PREDAsampledata
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package PREDA_1.48.0.tar.gz
Windows Binary PREDA_1.48.0.zip
macOS Binary (x86_64) PREDA_1.48.0.tgz
macOS Binary (arm64) PREDA_1.48.0.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