Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/86580
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Type: Journal article
Title: PCIT: an R package for weighted gene co-expression networks based on partial correlation and information theory approaches
Author: Watson-Haigh, N.
Kadarmideen, H.
Reverter, A.
Citation: Bioinformatics, 2010; 26(3):411-413
Publisher: Oxford University Press
Issue Date: 2010
ISSN: 1367-4803
1460-2059
Statement of
Responsibility: 
Nathan S. Watson-Haigh, Haja N. Kadarmideen and Antonio Reverter
Abstract: Summary: We make the PCIT algorithm, used for detecting meaningful gene–gene associations in co-expression networks, available as an R package. Automatic detection of a suitable parallel environment is used such that scripts are portable between parallel and non-parallel environments with no modification of the script. Availability and implementation: Source code and binaries freely available (under GPL-3) for download via CRAN at http://cran.r-project.org/package=PCIT, implemented in R and supported on Linux and MS Windows.
Keywords: Gene Expression Profiling; Computational Biology; Algorithms; Software; Databases, Genetic; Gene Regulatory Networks
Description: First published online: December 9, 2009
Rights: © The Author 2009
RMID: 0020128191
DOI: 10.1093/bioinformatics/btp674
Appears in Collections:Australian Centre for Plant Functional Genomics publications

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