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Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships
Leveraging molecular networks to discover disease-relevant modules is a long-standing challenge. With the accumulation of interactomes, there is a pressing need for powerful computational approaches to handle the inevitable noise and context-specific nature of biological networks. Here, we introduce...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868676/ https://www.ncbi.nlm.nih.gov/pubmed/36699743 http://dx.doi.org/10.1016/j.patter.2022.100651 |