CCPROMISE

DOI: 10.18129/B9.bioc.CCPROMISE    

This package is for version 3.8 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: 3.8

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 (from within R, enter citation("CCPROMISE")):

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("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")

 

PDF R Script An introduction to CCPROMISE
PDF   Reference Manual

Details

biocViews GeneExpression, Microarray, Software
Version 1.8.0
In Bioconductor since BioC 3.4 (R-3.3) (2.5 years)
License GPL (>= 2)
Depends R (>= 3.3.0), stats, methods, CCP, PROMISE, Biobase, GSEABase, utils
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
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Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package CCPROMISE_1.8.0.tar.gz
Windows Binary CCPROMISE_1.8.0.zip
Mac OS X 10.11 (El Capitan) CCPROMISE_1.8.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CCPROMISE
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CCPROMISE
Package Short Url http://bioconductor.org/packages/CCPROMISE/
Package Downloads Report Download Stats

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