This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see PREDA.
Bioconductor version: 3.17
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)) 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")
PREDA S4-classes | ||
R Script | PREDA tutorial | |
Reference Manual |
biocViews | CopyNumberVariation, GeneExpression, Genetics, Software |
Version | 1.46.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (12 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 |
Follow Installation instructions to use this package in your R session.
Source Package | PREDA_1.46.0.tar.gz |
Windows Binary | PREDA_1.46.0.zip |
macOS Binary (x86_64) | PREDA_1.46.0.tgz |
macOS Binary (arm64) | PREDA_1.46.0.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 |
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