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https://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 |
DOI: | 10.1093/bioinformatics/btp674 |
Published version: | http://dx.doi.org/10.1093/bioinformatics/btp674 |
Appears in Collections: | Aurora harvest 7 Australian Centre for Plant Functional Genomics publications |
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