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A multiple kernel learning algorithm for drug-target interaction prediction
BACKGROUND: Drug-target networks are receiving a lot of attention in late years, given its relevance for pharmaceutical innovation and drug lead discovery. Different in silico approaches have been proposed for the identification of new drug-target interactions, many of which are based on kernel meth...
Guardat en:
| Publicat a: | BMC Bioinformatics |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4722636/ https://ncbi.nlm.nih.gov/pubmed/26801218 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-0890-3 |
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