Mining susceptibility gene modules and disease risk genes from SNP data by combining network topological properties with support vector regression.

Abstract excerpt

Genome-wide association study is a powerful approach to identify disease risk loci. However, the molecular regulatory mechanisms for most complex diseases are still not well understood. Therefore, further investigating the interplay between genetic factors and biological networks is important for elucidating the molecular mechanisms of complex diseases. Here, we proposed a novel framework to identify...

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