Foundation models and deep learning for cancer drug response prediction: a framework for data, metrics, and validation.
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| Title: | Foundation models and deep learning for cancer drug response prediction: a framework for data, metrics, and validation. |
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| Authors: | Real, Katyna Sada Del1, Swamy, Vinay S2, Arcagni, Josefina1, Wang, Eric3, Rabadan, Raul3, Rubio, Angel4 |
| Source: | Briefings in Bioinformatics; May2026, Vol. 27 Issue 3, p1-19, 19p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 195128637 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195128637 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/bib/bbag225 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 1 Titles: – TitleFull: Foundation models and deep learning for cancer drug response prediction: a framework for data, metrics, and validation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Real, Katyna Sada Del – PersonEntity: Name: NameFull: Swamy, Vinay S – PersonEntity: Name: NameFull: Arcagni, Josefina – PersonEntity: Name: NameFull: Wang, Eric – PersonEntity: Name: NameFull: Rabadan, Raul – PersonEntity: Name: NameFull: Rubio, Angel IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14675463 Numbering: – Type: volume Value: 27 – Type: issue Value: 3 Titles: – TitleFull: Briefings in Bioinformatics Type: main |
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