298-scPRS: Risk Scores Dissect Complex Disease Heterogeneity

The paper introduces a novel computational approach called the single-cell Polygenic Risk Score (scPRS), which is designed to overcome the limitations of conventional risk prediction by accounting for cellular and molecular heterogeneity in complex human diseases. This methodology integrates single-cell epigenome profiling, specifically scATAC-seq data, with a Graph Neural Network (GNN) to calcula...去小宇宙查看完整单集简介
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