Graph-based multi-modality integration for prediction of cancer subtype and severity.
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| Title: | Graph-based multi-modality integration for prediction of cancer subtype and severity. |
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| Authors: | Duroux D; BIO3 - Systems Genetics, GIGA-R Medical Genomics, University of Liège, 4000, Liège, Belgium. diane.duroux@ai.ethz.ch.; Post-Doctoral Fellow, ETH AI center, Zürich, Switzerland. diane.duroux@ai.ethz.ch., Wohlfart C; Roche Diagnostics GmbH, Penzberg, Germany., Van Steen K; BIO3 - Systems Genetics, GIGA-R Medical Genomics, University of Liège, 4000, Liège, Belgium.; Department of Human Genetics, BIO3 - Systems Medicine, 3000, Leuven, Belgium., Vladimirova A; Roche Information Solutions, Roche Diagnostics Corporation, Santa Clara, California, United States of America., King M; Roche Diagnostics GmbH, Penzberg, Germany. |
| Source: | Scientific reports [Sci Rep] 2023 Nov 10; Vol. 13 (1), pp. 19653. Date of Electronic Publication: 2023 Nov 10. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-023-46392-6 |
