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A compact encoding of the genome suitable for machine learning prediction of traits and genetic risk scores

2024-04-05

Abstract excerpt

Genotype to phenotype prediction is a central problem in biology and medicine. Machine learning is a natural tool to address this problem. However, a person’s genotype is usually represented by a few million single-nucleotide polymorphisms and most datasets only have a few thousand patients. Thus, this problem typically has many more predictors than the number of samples (patients), making it unsuitable for machin...

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Literature Corpus work
72896730-20c8-5e3e-a3ac-5aa972940a3b
DOI
10.1101/2024.04.03.587989
Open publication

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A compact encoding of the genome suitable for machine learning prediction of traits and genetic risk scoresDOI 10.1101/2024.04.03.587989
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