Prospects of evolution-based artificial intelligence models in genome-wide studies to stratify genetic risk variants in nonalcoholic fatty liver disease
dc.contributor.author | Huang, Helen | |
dc.contributor.author | Awuah, Wireko Andrew | |
dc.contributor.author | Garg, Tulika | |
dc.contributor.author | Cheng Ng, Jyi | |
dc.contributor.author | Mehta, Aashna | |
dc.contributor.author | Ramamoorthy, Krishna | |
dc.contributor.author | Kalmanovich, Jacob | |
dc.contributor.author | Hasan, Mohammad Mehedi | |
dc.date.accessioned | 2024-06-04T13:21:08Z | |
dc.date.available | 2024-06-04T13:21:08Z | |
dc.date.issued | 2023 | |
dc.date.oa | 2024-10-02 | |
dc.date.pasync | 2024-09-27T23:08:31Z | |
dc.date.updated | 2024-06-04T13:21:08Z | |
dc.description.corrector | TB | |
dc.identifier.citation | Annals of Medicine and Surgery. -85 : 6 (2023), p. 2743-2748. -Ann Med Surg (Lond). - 2049-0801 | |
dc.identifier.doi | http://dx.doi.org/10.1097/MS9.0000000000000743 | |
dc.identifier.issn | 2049-0801 | |
dc.identifier.opac | https://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM121748 | |
dc.identifier.uri | https://hdl.handle.net/2437/370917 | |
dc.identifier.url | https://journals.lww.com/10.1097/MS9.0000000000000743 | |
dc.identifier.wos | 001018546100071 | |
dc.language | eng | |
dc.rights.access | open access article | |
dc.rights.owner | szerző | |
dc.subject.mab | Orvostudományok | |
dc.subject.mab | Klinikai orvostudományok | |
dc.title | Prospects of evolution-based artificial intelligence models in genome-wide studies to stratify genetic risk variants in nonalcoholic fatty liver disease | |
dc.type | folyóiratcikk | |
dc.type | idegen nyelvű folyóiratközlemény külföldi lapban |
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