Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score
Identifying genetic drivers of chronic diseases is necessary for drug discovery. Here, we
develop a machine learning-assisted genetic priority score, which we call ML-GPS, that …
develop a machine learning-assisted genetic priority score, which we call ML-GPS, that …
Integrating Common and Rare Variants Improves Polygenic Risk Prediction Across Diverse Populations
Polygenic risk scores (PRS) predict complex traits by aggregating genetic effects across the
genome, yet most models focus on common variants, overlooking rare variants that may …
genome, yet most models focus on common variants, overlooking rare variants that may …
LUKB: preparing local UK Biobank data for analysis
X Li, Y Huang, S Wang, M Hao, Y Li… - Bioinformatics …, 2024 - academic.oup.com
Abstract Motivation The UK Biobank data holds immense potential for human health
research. However, the complex data preparation and interpretation processes often act as …
research. However, the complex data preparation and interpretation processes often act as …