PCIT: an R package for weighted gene co-expression networks based on partial correlation and information theory approaches

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dc.contributor.authorWatson-Haigh, N.
dc.contributor.authorKadarmideen, H.
dc.contributor.authorReverter, A.
dc.date.issued2010
dc.descriptionFirst published online: December 9, 2009
dc.description.abstractSummary: 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.
dc.description.statementofresponsibilityNathan S. Watson-Haigh, Haja N. Kadarmideen and Antonio Reverter
dc.identifier.citationBioinformatics, 2010; 26(3):411-413
dc.identifier.doi10.1093/bioinformatics/btp674
dc.identifier.issn1367-4803
dc.identifier.issn1460-2059
dc.identifier.orcidWatson-Haigh, N. [0000-0002-7935-6151]
dc.identifier.urihttp://hdl.handle.net/2440/86580
dc.language.isoen
dc.publisherOxford University Press
dc.rights© The Author 2009
dc.source.urihttps://doi.org/10.1093/bioinformatics/btp674
dc.subjectGene Expression Profiling
dc.subjectComputational Biology
dc.subjectAlgorithms
dc.subjectSoftware
dc.subjectDatabases, Genetic
dc.subjectGene Regulatory Networks
dc.titlePCIT: an R package for weighted gene co-expression networks based on partial correlation and information theory approaches
dc.typeJournal article
pubs.publication-statusPublished

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