CCPROMISE
This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see CCPROMISE.
PROMISE analysis with Canonical Correlation for Two Forms of High Dimensional Genetic Data
Bioconductor version: 3.9
Perform Canonical correlation between two forms of high demensional genetic data, and associate the first compoent of each form of data with a specific biologically interesting pattern of associations with multiple endpoints. A probe level analysis is also implemented.
Author: Xueyuan Cao <xueyuan.cao at stjude.org> and Stanley.pounds <stanley.pounds at stjude.org>
Maintainer: Xueyuan Cao <xueyuan.cao at stjude.org>
citation("CCPROMISE")
):
Installation
To install this package, start R (version "3.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CCPROMISE")
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("CCPROMISE")
An introduction to CCPROMISE | R Script | |
Reference Manual |
Details
biocViews | GeneExpression, Microarray, Software |
Version | 1.10.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (7.5 years) |
License | GPL (>= 2) |
Depends | R (>= 3.3.0), stats, methods, CCP, PROMISE, Biobase, GSEABase, utils |
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URL |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | CCPROMISE_1.10.0.tar.gz |
Windows Binary | CCPROMISE_1.10.0.zip |
Mac OS X 10.11 (El Capitan) | CCPROMISE_1.10.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/CCPROMISE |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CCPROMISE |
Bioc Package Browser | https://code.bioconductor.org/browse/CCPROMISE/ |
Package Short Url | https://bioconductor.org/packages/CCPROMISE/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.9 | Source Archive |