Article

Unsupervised representation learning improves genomic discovery and risk prediction for respiratory and circulatory functions and diseases

2023-04-29

Abstract excerpt

High-dimensional clinical data are becoming more accessible in biobank-scale datasets. However, effectively utilizing high-dimensional clinical data for genetic discovery remains challenging. Here we introduce a general deep learning-based framework, REpresentation learning for Genetic discovery on Low-dimensional Embeddings (REGLE), for discovering associations between genetic variants and high-dimensional clinic...

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Literature Corpus work: dd138d85-6808-552c-ae5b-5120e23006e6
DOI: 10.1101/2023.04.28.23289285

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