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

Bioinformatics

Volumn 26, Issue 3, 2009, Pages 411-413

  Watson Haigh, Nathan S ^a   Kadarmideen, Haja N ^a   Reverter, Antonio ^a  

^a CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77949500391     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btp674     Document Type: Article

References (6)

1. Basso, K. et al. (2005). Reverse engineering of regulatory networks in human B cells. Nat. Genet., 37, 382-390.
2. de la Fuente, A. et al. (2004) Discovery of meaningful associations in genomic data using partial correlation coefficients. Bioinformatics, 20, 3565-3574.
3. Gentleman, R.C. et al. (2004) Bioconductor: open software development for computational biology and bioinformatics. Genome Biol., 5, R80.
4. Hudson, N.J. et al. (2009) Inferring the transcriptional landscape of bovine skeletal muscle by integrating co-expression networks. PLoS ONE, 4, e7249.
5. Magwene, P. and Kim, J. (2004) Estimating genomic coexpression networks using firstorder conditional independence. Genome Biol., 5, R100.
6. Reverter, A. and Chan, E.K.F. (2008) Combining partial correlation and an information theory approach to the reversed engineering of gene co-expression networks. Bioinformatics, 24, 2491-2497.