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Supervised prediction of drug–target interactions using bipartite local models
Motivation: In silico prediction of drug–target interactions from heterogeneous biological data is critical in the search for drugs for known diseases. This problem is currently being attacked from many different points of view, a strong indication of its current importance. Precisely, being able to...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2735674/ https://www.ncbi.nlm.nih.gov/pubmed/19605421 http://dx.doi.org/10.1093/bioinformatics/btp433 |