Article

SNVformer: An Attention-based Deep Neural Network for GWAS Data

2022-07-10

Abstract excerpt

Despite being the widely-used gold standard for linking common genetic variations to phenotypes and disease, genome-wide association studies (GWAS) suffer major limitations, partially attributable to the reliance on simple, typically linear, models of genetic effects. More elaborate methods, such as epistasis-aware models, typically struggle with the scale of GWAS data. In this paper, we build on recent advances i...

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Literature Corpus work: 0a70b836-8ced-5e82-b336-47005086afc2
DOI: 10.1101/2022.07.07.499217

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