drCCA {drCCA}R Documentation

drCCA - dimensionality reduction with CCA


A package for data fusion task in bioinformatics applications. The package can be used to combine two or more data sets with co-occurring samples (such as genes) into a common representation of low dimensionality. The package implements the drCCA method that uses linear transformation to create a representation focusing on effects shared by several data sources, while reducing the dimensionality by ignoring variation that is specific to any of the data sources alone. The underlying assumption is that such data-specific variation is often noise or less interesting due to being related to a phenomenom not visible in the other sources. Check the software's webpage for the latest version.


Package: drCCA
Type: Package
Version: 1.0
Date: 2007-12-20
License: LGPL
URL: http://www.cis.hut.fi/projects/mi/software/drCCA

This package contains functions implementing the drCCA method for data fusion.

For a complete list of functions, use 'library(help="drCCA")'


Abhishek Tripathi, Arto Klami

Maintainer:Abhishek Tripathi<abhishek.tripathi@cs.helsinki.fi>


     drCCAcombine(list(expdata1,expdata2)) #use default values

[Package drCCA version 1.0 Index]