Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncology.
Saved in:
| Title: | Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncology. |
|---|---|
| Authors: | Benkirane, Hakim1,2,3,4 (AUTHOR), Vakalopoulou, Maria1,2 (AUTHOR), Planchard, David4,5 (AUTHOR), Adam, Julien4,6 (AUTHOR), Olaussen, Ken4,7 (AUTHOR), Michiels, Stefan3,8 (AUTHOR), Cournède, Paul-Henry1,2 (AUTHOR) paul-henry.cournede@centralesupelec.fr |
| Source: | PLoS Computational Biology. 6/17/2025, Vol. 21 Issue 6, p1-22. 22p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: asn DbLabel: Academic Search Ultimate An: 185994306 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncology. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Benkirane%2C+Hakim%22">Benkirane, Hakim</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vakalopoulou%2C+Maria%22">Vakalopoulou, Maria</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Planchard%2C+David%22">Planchard, David</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adam%2C+Julien%22">Adam, Julien</searchLink><relatesTo>4,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Olaussen%2C+Ken%22">Olaussen, Ken</searchLink><relatesTo>4,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Michiels%2C+Stefan%22">Michiels, Stefan</searchLink><relatesTo>3,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cournède%2C+Paul-Henry%22">Cournède, Paul-Henry</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> paul-henry.cournede@centralesupelec.fr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 6/17/2025, Vol. 21 Issue 6, p1-22. 22p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185994306 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1013012 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1 Titles: – TitleFull: Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Benkirane, Hakim – PersonEntity: Name: NameFull: Vakalopoulou, Maria – PersonEntity: Name: NameFull: Planchard, David – PersonEntity: Name: NameFull: Adam, Julien – PersonEntity: Name: NameFull: Olaussen, Ken – PersonEntity: Name: NameFull: Michiels, Stefan – PersonEntity: Name: NameFull: Cournède, Paul-Henry IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 06 Text: 6/17/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1553734X Numbering: – Type: volume Value: 21 – Type: issue Value: 6 Titles: – TitleFull: PLoS Computational Biology Type: main |
| ResultId | 1 |