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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")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


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:

PREDA S4-classes PDF
PREDA tutorial PDF R Script
Reference Manual PDF


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
System Requirements
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
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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/
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