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A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks
The powerful combination of large-scale drug-related interaction networks and deep learning provides new opportunities for accelerating the process of drug discovery. However, chemical structures that play an important role in drug properties and high-order relations that involve a greater number of...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681315/ https://www.ncbi.nlm.nih.gov/pubmed/37956212 http://dx.doi.org/10.1371/journal.pcbi.1011597 |