DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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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
- Urheber
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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
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s13073-023-01248-6
- URN
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urn:nbn:de:101:1-2024011708391917953418
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:32 MESZ
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Beteiligte
- 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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