PREDA

This is the released version of PREDA; for the devel version, see PREDA.

Position Related Data Analysis

Bioconductor version: Release (3.20)

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")):

To install this package, start R (version "4.4") 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.

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	1.52.0
In Bioconductor since	BioC 2.9 (R-2.14) (13 years)
License	GPL-2
Depends	R (>= 2.9.0), Biobase, lokern (>= 1.0.9), multtest, stats, methods, annotate
Imports
System Requirements
URL

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

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

Source Package	PREDA_1.52.0.tar.gz
Windows Binary (x86_64)	PREDA_1.52.0.zip (64-bit only)
macOS Binary (x86_64)	PREDA_1.52.0.tgz
macOS Binary (arm64)	PREDA_1.52.0.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