PREDA
Position Related Data Analysis
Bioconductor version: Release (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")):
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 | ||
| PREDA tutorial | R Script | |
| Reference Manual |
Details
| 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 | |
| Linking To | |
| Suggests | quantsmooth, qvalue, limma, caTools, affy, PREDAsampledata |
| System Requirements | |
| Enhances | Rmpi, rsprng |
| URL |
See More
| Depends On Me | PREDAsampledata |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report |
Package Archives
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 (64-bit only) |
| 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 |