Abdulrhman Aljouie

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—The era of genomics brings the potential of better DNA based risk prediction and treatment. While genome-wide association studies are extensively studied for risk prediction, the potential of using whole exome data for this purpose is unclear. We explore this problem for chronic lymphocytic leukemia that is one of the largest whole exome dataset of 186(More)
The ranking of SNPs and prediction of phenotypes in continuous genome wide association studies is a subject of increasing interest with applications in personalized medicine and animal and plant breeding. The ranking of SNPs in case control (discrete label) genome wide association studies has been examined in several previous studies with machine learning(More)
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