首页|Causal considerations can determine the utility of machine learning assisted GWA S
Causal considerations can determine the utility of machine learning assisted GWA S
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from bi orxiv.org:“Machine Learning (ML) is increasingly employed to generate phenotypes for genet ic discovery, eitherby imputing existing phenotypes into larger cohorts or by c reating novel phenotypes. While these MLderivedphenotypes can significantly in crease sample size, and thereby empower genetic discovery, theycan also inflate the false discovery rate (FDR). Recent research has focused on developing estim ators thatleverage both true and machine-learned phenotypes to properly control the type-I error.
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