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Machine learning optimized polygenic scores for blood cell traits identify sex-specific trajectories and genetic correlations with disease (2022)

First Author: Yu X

Attributed to: Artificial intelligence to create equitable multi-ethnic polygenic risk scores that improve clinical care funded by FIC

Abstract

No abstract provided

Bibliographic Information

Publication URI: https://www.sciencedirect.com/science/article/pii/S2666979X21001075

Type: Journal Article/Review

Volume: 2

Parent Publication: Cell Genomics

Issue: 1