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|Title:||PCIT: an R package for weighted gene co-expression networks based on partial correlation and information theory approaches|
|Citation:||Bioinformatics, 2010; 26(3):411-413|
|Publisher:||Oxford University Press|
|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|
|Appears in Collections:||Australian Centre for Plant Functional Genomics publications|
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