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

Nathan S. Watson-Haigh, Haja N. Kadarmideen, Antonio Reverter

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)

Abstract

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.rproject. org/package=PCIT, implemented in R and supported on Linux and MS Windows. Contact: nathan.watson-haigh@csiro.au

Original languageEnglish
Pages (from-to)411-413
Number of pages3
JournalBioinformatics
Volume26
Issue number3
DOIs
Publication statusPublished or Issued - 9 Dec 2009
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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