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SPVec: A Word2vec-Inspired Feature Representation Method for Drug-Target Interaction Prediction
Drug discovery is an academical and commercial process of global importance. Accurate identification of drug-target interactions (DTIs) can significantly facilitate the drug discovery process. Compared to the costly, labor-intensive and time-consuming experimental methods, machine learning (ML) play...
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| Pubblicato in: | Front Chem |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6967417/ https://ncbi.nlm.nih.gov/pubmed/31998687 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fchem.2019.00895 |
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