PREDA
Position Related Data Analysis
Bioconductor version: Release (3.19)
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 "4.4") 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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PREDA")
PREDA S4-classes | ||
PREDA tutorial | R Script | |
Reference Manual |
Details
biocViews | CopyNumberVariation, GeneExpression, Genetics, Software |
Version | 1.50.0 |
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 |
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_1.50.0.tar.gz |
Windows Binary | PREDA_1.50.0.zip (64-bit only) |
macOS Binary (x86_64) | PREDA_1.50.0.tgz |
macOS Binary (arm64) | PREDA_1.50.0.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 |