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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...
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Main Authors: | , , , |
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Format: | Artigo |
Language: | Inglês |
Published: |
BioMed Central
2010
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Subjects: | |
Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2982693/ https://ncbi.nlm.nih.gov/pubmed/20840733 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-0509-4-S2-S6 |
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