Article

Deep learning genome-wide genetics through biregular sparse decoder layer: deriving new disease genetic associations and disease risk predictions

2023-12-11

Abstract excerpt

<title>Abstract</title> <p>Genomic biobanks provide valuable resources for studying how genetic variation affects phenotypic differences and disease susceptibility, driving advancements in human health. While unsupervised deep learning frameworks like autoencoders have gained attention in other omics domains with fewer features, the computational complexity of genetic data has hindered their application. To overc...

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Literature Corpus work: 005b1a0b-7209-539d-a838-f458cb994fc3
DOI: 10.21203/rs.3.rs-3486573/v1

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Deep learning genome-wide genetics through biregular sparse decoder layer: deriving new disease genetic associations and disease risk predictionsDOI 10.21203/rs.3.rs-3486573/v1Read

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