DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction.
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| Title: | DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction. |
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| Authors: | Yan, Fen1 (AUTHOR), Du, ZhiHua1 (AUTHOR) duzh@szu.edu.cn, Huang, Yu-An2,3 (AUTHOR) yuanhuang@nwpu.edu.cn |
| Source: | PLoS Computational Biology. 12/19/2025, Vol. 21 Issue 12, p1-27. 27p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 190387292 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yan%2C+Fen%22">Yan, Fen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Du%2C+ZhiHua%22">Du, ZhiHua</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> duzh@szu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Huang%2C+Yu-An%22">Huang, Yu-An</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> yuanhuang@nwpu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 12/19/2025, Vol. 21 Issue 12, p1-27. 27p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190387292 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1013832 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 1 Titles: – TitleFull: DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yan, Fen – PersonEntity: Name: NameFull: Du, ZhiHua – PersonEntity: Name: NameFull: Huang, Yu-An IsPartOfRelationships: – BibEntity: Dates: – D: 19 M: 12 Text: 12/19/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1553734X Numbering: – Type: volume Value: 21 – Type: issue Value: 12 Titles: – TitleFull: PLoS Computational Biology Type: main |
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