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.
|
|
|
|
|
|
|
Bioconductor version: Release (3.5)
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 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 | 1.22.0 |
| In Bioconductor since | BioC 2.9 (R-2.14) (6 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.
| Source Package | PREDA_1.22.0.tar.gz |
| Windows Binary | PREDA_1.22.0.zip |
| Mac OS X 10.11 (El Capitan) | PREDA_1.22.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/PREDA |
| Package Short Url | http://bioconductor.org/packages/PREDA/ |
| Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: