PCIT: PCIT algorithm - Partial Correlation Coefficient with Information Theory

This package provides the necessary functions for performing the Partial Correlation coefficient with Information Theory (PCIT) algorithm developed by Reverter and Chan (2008). The PCIT algorithm identifies meaningful correlations to define edges in a weighted network. The algorithm can be applied to any correlation-based network including but not limited to gene co-expression networks.

Version: 1.04-3
Depends: R (≥ 2.10)
Suggests: Rmpi
Published: 2011-05-11
Author: Nathan S. Watson-Haigh
Maintainer: Nathan S. Watson-Haigh <nathan.watson-haigh at awri.com.au>
License: GPL-3
URL: http://dx.doi.org/10.1093/bioinformatics/btn482 http://bioinformatics.oxfordjournals.org/cgi/content/abstract/26/3/411 http://www.csiro.au/people/Nathan.Watson-Haigh.html
NeedsCompilation: yes
CRAN checks: PCIT results

Downloads:

Package source: PCIT_1.04-3.tar.gz
MacOS X binary: PCIT_1.04-3.tgz
Windows binary: PCIT_1.04-3.zip
Reference manual: PCIT.pdf
News/ChangeLog:ChangeLog
Old sources: PCIT archive