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Improving compound–protein interaction prediction by building up highly credible negative samples
Motivation: Computational prediction of compound–protein interactions (CPIs) is of great importance for drug design and development, as genome-scale experimental validation of CPIs is not only time-consuming but also prohibitively expensive. With the availability of an increasing number of validated...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765858/ https://ncbi.nlm.nih.gov/pubmed/26072486 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv256 |
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