DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction ; volume:15 ; number:1 ; day:31 ; month:10 ; year:2023 ; pages:1-19 ; date:12.2023
Genome medicine ; 15, Heft 1 (31.10.2023), 1-19, 12.2023

Creator: Chandrashekar, Pramod Bharadwaj
Alatkar, Sayali
Wang, Jiebiao
Hoffman, Gabriel
He, Chenfeng
Jin, Ting
Khullar, Saniya
Bendl, Jaroslav
Fullard, John F.
Roussos, Panos
Wang, Daifeng

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13073-023-01248-6

URN: urn:nbn:de:101:1-2024011708391917953418

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:32 AM CEST

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Chandrashekar, Pramod Bharadwaj
Alatkar, Sayali
Wang, Jiebiao
Hoffman, Gabriel
He, Chenfeng
Jin, Ting
Khullar, Saniya
Bendl, Jaroslav
Fullard, John F.
Roussos, Panos
Wang, Daifeng
SpringerLink (Online service)

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DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

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