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EW_dmGWAS: edge-weighted dense module search for genome-wide association studies and gene expression profiles.
- Source :
-
Bioinformatics . 8/1/2015, Vol. 31 Issue 15, p2591-2594. 4p. - Publication Year :
- 2015
-
Abstract
- We previously developed dmGWAS to search for dense modules in a human protein--protein interaction (PPI) network; it has since become a popular tool for network-assisted analysis of genome-wide association studies (GWAS). dmGWAS weights nodes by using GWAS signals. Here, we introduce an upgraded algorithm, EW_dmGWAS, to boost GWAS signals in a node- and edge-weighted PPI network. In EW_dmGWAS, we utilize condition-specific gene expression profiles for edge weights. Specifically, differential gene co-expression is used to infer the edge weights. We applied EW_dmGWAS to two diseases and compared it with other relevant methods. The results suggest that EW_dmGWAS is more powerful in detecting disease-associated signals. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13674803
- Volume :
- 31
- Issue :
- 15
- Database :
- Academic Search Index
- Journal :
- Bioinformatics
- Publication Type :
- Academic Journal
- Accession number :
- 108725937
- Full Text :
- https://doi.org/10.1093/bioinformatics/btv150