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Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces
BACKGROUND: Predicting drug-protein interactions from heterogeneous biological data sources is a key step for in silico drug discovery. The difficulty of this prediction task lies in the rarity of known drug-protein interactions and myriad unknown interactions to be predicted. To meet this challenge...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2982693/ https://www.ncbi.nlm.nih.gov/pubmed/20840733 http://dx.doi.org/10.1186/1752-0509-4-S2-S6 |