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Exploiting Machine Learning for End-To-End Drug Discovery and Development
A variety of machine learning methods such as Naïve Bayesian, support vector machines and more recently deep neural networks are demonstrating their utility for drug discovery and development. These leverage the generally bigger data sets created from high throughput screening data and allow predict...
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| Pubblicato in: | Nat Mater |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6594828/ https://ncbi.nlm.nih.gov/pubmed/31000803 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41563-019-0338-z |
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