Cargando…
Predicting Drug-Disease Associations via Multi-Task Learning Based on Collective Matrix Factorization
Identifying drug-disease associations is integral to drug development. Computationally prioritizing candidate drug-disease associations has attracted growing attention due to its contribution to reducing the cost of laboratory screening. Drug-disease associations involve different association types,...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179666/ https://www.ncbi.nlm.nih.gov/pubmed/32373595 http://dx.doi.org/10.3389/fbioe.2020.00218 |