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Exploring candidate Genes for Human Brain Diseases Based on a Brain-specific Gene Network
Abstract : It is believed that large numbers of genes are involved in common human brain diseases. Here, we propose a novel computational strategy for simultaneously identifying multiple candidate genes for genetic human brain diseases from a brain-specific gene network-level perspective. By integrating diverse genomic and proteomic datasets based on Bayesian statistical model, we built a large-scale human brain-specific gene network. Based on this network and minor prior knowledge of a specific brain disease, we can effectively identify multiple candidate genes for this disease. When four known Alzheimer's disease genes were used as the prior knowledge, among the top 46 high-scoring genes that we have found, 37 were previously reported to be associated with Alzheimer's disease. And the higher score a gene has, the more likely this gene is a disease-related one. The results suggest that the proposed method is effective, convenient, and applicable in the future genetic studies.
https://hal.inria.fr/inria-00122880
Contributor : Chine Publications Liama Connect in order to contact the contributor
Submitted on : Friday, January 5, 2007 - 12:57:13 PM
Last modification on : Saturday, October 9, 2021 - 4:06:41 AM
Contributor : Chine Publications Liama Connect in order to contact the contributor
Submitted on : Friday, January 5, 2007 - 12:57:13 PM
Last modification on : Saturday, October 9, 2021 - 4:06:41 AM
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