rcNet (Rank Coherence in Networks) web tool provides an online resource to predict associations between disease phenotypes and gene sets. rcNet algorithms combine known disease-gene associations in OMIM with the topological information in the disease phenotype similarity network and the gene-gene interaction network to analyze the association between a gene set and disease phenotypes. The networks provide richer and more reliable information for computing the association scores used to rank the phenotypes. reNet algorithms could be applied to validate and analyze the candidate disease gene identified in GWAS, DNA copy number analysis, and Microarray gene expression profiling.
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Bioinformatics. 2011 Oct 1;27(19):2692-9. doi: 10.1093/bioinformatics/btr463. Epub 2011 Aug 8.
Inferring disease and gene set associations with rank coherence in networks.
Hwang T, Zhang W, Xie M, Liu J, Kuang R.