Article
Identification of genes for complex diseases by integrating multiple types of genomic data.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference - 1 Jan 2012
Cao Hongbao, Lei Shufeng, Deng Hong-Wen, Wang Yu-Ping
Abstract excerpt
Combining multi-types of genomic data for integrative analyses can take advantage of complementary information and thus can have higher power to identify genes/variables that would otherwise be impossible with individual data analysis. Here we proposed a sparse representation based clustering (SRC) method for integrative data analyses, and applied the SRC method to the integrative analysis of 376821 SNPs in 200...
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