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Novel Machine Learning Methods for Genomic Data Analysis
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Association Study between Diseases and Human Tissue-Specific Epigenomes
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Developing enrichment analyzing methods at sub-cell type level to generate novel insights on complex disease pathogenesis
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Disease Risk annotation of Genomic and Epigenomic Variants using Machine Learning Approaches
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Applying Genome-Wide Association Study to Analyze Novel Variants That Potentially Relate to Alzheimer’s Disease
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Quantitative trait locus analysis of molecular phenotypes in the GTEx cohort
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Predicting Combined Chemotherapeutic Agents’ Efficacy Synergy via Multiple Regression Models and Cross Validation Technique, Upon Inter-Patient and Intra-Patient Levels
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