davidenoma/xMLGenoRisk

Machine Learning approach for genetic risk prediction. I applied a modified, XGBoost algorithm and an iterative SNP selection algorithm to find the top features (SNPs) that best predict the risk of developing prostate cancer with a linear Support Vector Machine (SVM).

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