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Our algorithms for MWMCP have been implemented to analyze two biomedical data sets a Type 1 Diabetes (T1D) data set from the Diabetes Prevention Trial-Type 1 (DPT-1) study, and a breast cancer genomics data set for metastasis prognosis. The results demonstrate that our network-based methods can identify important biomarkers with better prediction accuracy compared to the conventional feature selection that only considers individual effects.The characteristics of low minor allele frequency (MAF) and weak individual effects make genome-wi
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