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Benchmarking 80 binary phenotypes from the openSNP dataset using deep learning algorithms and polygenic risk score tools

2026-03-09

Abstract excerpt

Genotype-phenotype prediction plays a crucial role in identifying disease-causing single nucleotide polymorphisms and precision medicine. In this manuscript, we benchmark the performance of various machine/deep learning algorithms and polygenic risk score tools on 80 binary phenotypes extracted from the openSNP dataset. After cleaning and extraction, the genotype data for each phenotype is passed to PLINK for qual...

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Literature Corpus work
33209d80-3390-514d-8b6d-e06806707940
DOI
10.64898/2026.03.06.710126
Open publication

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Benchmarking 80 binary phenotypes from the openSNP dataset using deep learning algorithms and polygenic risk score toolsDOI 10.64898/2026.03.06.710126
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