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Showing 1 to 1 of 1 for “"Whole Exome Wide Association Study (WEWAS)"”.

  1. Risk prediction with genomic data

    Genome wide association study (GWAS) is widely used with various machine learning algorithms to predict disease risk. This thesis investigates this widely used approach of GWAS using Single Nucleotide Polymorphism (SNP) genotype data and a novel approach of disease risk prediction with whole exome

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