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An Empirical Study of ML-based Phenotyping and Denoising for Improved Genomic Discovery

2022-11-18

Abstract excerpt

Genome-wide association studies (GWAS) are used to identify genetic variants significantly correlated with a target disease or phenotype as a first step to detect potentially causal genes. The availability of high-dimensional biomedical data in population-scale biobanks has enabled novel machine-learning-based phenotyping approaches in which machine learning (ML) algorithms rapidly and accurately phenotype large...

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Literature Corpus work
3781ecfd-e0ec-598c-8416-9e2bf51bfbba
DOI
10.1101/2022.11.17.516907
Open publication

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An Empirical Study of ML-based Phenotyping and Denoising for Improved Genomic DiscoveryDOI 10.1101/2022.11.17.516907
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