To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("PREDA")
In most cases, you don't need to download the package archive at all.
This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see PREDA.
Bioconductor version: 3.3
Package for the position related analysis of quantitative functional genomics data.
Author: Francesco Ferrari <francesco.ferrari at unimore.it>
Maintainer: Francesco Ferrari <francesco.ferrari at unimore.it>
Citation (from within R,
enter citation("PREDA")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("PREDA")
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 | 1.18.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (5 years) |
License | GPL-2 |
Depends | R (>= 2.9.0), Biobase, lokern (>= 1.0.9), multtest, stats, methods, annotate |
Imports | |
LinkingTo | |
Suggests | quantsmooth, qvalue, samr, limma, caTools, affy, PREDAsampledata |
SystemRequirements | |
Enhances | Rmpi, rsprng |
URL | |
Depends On Me | PREDAsampledata |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | PREDA_1.18.0.tar.gz |
Windows Binary | PREDA_1.18.0.zip |
Mac OS X 10.9 (Mavericks) | PREDA_1.18.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/PREDA/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/PREDA/ |
Package Downloads Report | Download Stats |
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