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Article

Valid inference for machine learning-assisted GWAS

2024-01-04

Abstract excerpt

Machine learning (ML) has revolutionized analytical strategies in almost all scientific disciplines including human genetics and genomics. Due to challenges in sample collection and precise phenotyping, ML-assisted genome-wide association study (GWAS) which uses sophisticated ML to impute phenotypes and then performs GWAS on imputed outcomes has quickly gained popularity in complex trait genetics research. However...

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Identifiers and source

Literature Corpus work
279366b9-0e38-5c40-9502-b5aabfa26995
DOI
10.1101/2024.01.03.24300779
Open publication

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Valid inference for machine learning-assisted GWASDOI 10.1101/2024.01.03.24300779
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