Employing machine learning and high-throughput sequencing to uncover complex genetic and epigenetic contributors in neurological phenotypes

Novel Machine Learning Methods for Genomic Data Analysis

Association Study between Diseases and Human Tissue-Specific Epigenomes

Developing enrichment analyzing methods at sub-cell type level to generate novel insights on complex disease pathogenesis

Disease Risk annotation of Genomic and Epigenomic Variants using Machine Learning Approaches

Applying Genome-Wide Association Study to Analyze Novel Variants That Potentially Relate to Alzheimer’s Disease

Quantitative trait locus analysis of molecular phenotypes in the GTEx cohort

Predicting Combined Chemotherapeutic Agents’ Efficacy Synergy via Multiple Regression Models and Cross Validation Technique, Upon Inter-Patient and Intra-Patient Levels