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Full-Text Articles in Life Sciences
Uncover Disease Genes By Maximizing Information Flow In The Phenome-Interactome Network., Yong Chen, Tao Jiang, Rui Jiang
Uncover Disease Genes By Maximizing Information Flow In The Phenome-Interactome Network., Yong Chen, Tao Jiang, Rui Jiang
Faculty Scholarship for the College of Science & Mathematics
MOTIVATION: Pinpointing genes that underlie human inherited diseases among candidate genes in susceptibility genetic regions is the primary step towards the understanding of pathogenesis of diseases. Although several probabilistic models have been proposed to prioritize candidate genes using phenotype similarities and protein-protein interactions, no combinatorial approaches have been proposed in the literature.
RESULTS: We propose the first combinatorial approach for prioritizing candidate genes. We first construct a phenome-interactome network by integrating the given phenotype similarity profile, protein-protein interaction network and associations between diseases and genes. Then, we introduce a computational method called MAXIF to maximize the information flow in this …
Domainrbf: A Bayesian Regression Approach To The Prioritization Of Candidate Domains For Complex Diseases., Wangshu Zhang, Yong Chen, Fengzhu Sun, Rui Jiang
Domainrbf: A Bayesian Regression Approach To The Prioritization Of Candidate Domains For Complex Diseases., Wangshu Zhang, Yong Chen, Fengzhu Sun, Rui Jiang
Faculty Scholarship for the College of Science & Mathematics
BACKGROUND: Domains are basic units of proteins, and thus exploring associations between protein domains and human inherited diseases will greatly improve our understanding of the pathogenesis of human complex diseases and further benefit the medical prevention, diagnosis and treatment of these diseases. Within a given domain-domain interaction network, we make the assumption that similarities of disease phenotypes can be explained using proximities of domains associated with such diseases. Based on this assumption, we propose a Bayesian regression approach named "domainRBF" (domain Rank with Bayes Factor) to prioritize candidate domains for human complex diseases.
RESULTS: Using a compiled dataset containing 1,614 …