XGDAG: explainable gene-disease associations via graph neural networks.
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| Title: | XGDAG: explainable gene-disease associations via graph neural networks. |
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| Authors: | Mastropietro A; Department of Computer, Control and Management Engineering 'Antonio Ruberti', Sapienza University of Rome, Rome 00185, Italy., De Carlo G; Department of Computer, Control and Management Engineering 'Antonio Ruberti', Sapienza University of Rome, Rome 00185, Italy., Anagnostopoulos A; Department of Computer, Control and Management Engineering 'Antonio Ruberti', Sapienza University of Rome, Rome 00185, Italy. |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2023 Aug 01; Vol. 39 (8). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1367-4811 |
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| DOI: | 10.1093/bioinformatics/btad482 |
