Using the Bipartite Human Phenotype Network to Reveal Pleiotropy and Epistasis Beyond the Gene
Christian Darabos, Samantha H. Harmon, Jason H. Moore;
Institute for the Quantitative Biomedical Sciences, The Geisel Medical School at Dartmouth College
Email: Christian.Darabos@dartmouth.edu
Pacific Symposium on Biocomputing 19:188-199(2014)
Abstract
We propose a novel approach to reveal and analyze pleiotropic and epistatic e ects at the genome-wide scale using a bipartite network composed of human diseases, phenotypic traits, and several types of predictive elements (i.e. SNPs, genes, or pathways).
[Full-Text PDF] [PSB Home Page]