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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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Détails bibliographiques
Publié dans:Nat Mater
Auteurs principaux: Ekins, Sean, Puhl, Ana C., Zorn, Kimberley M., Lane, Thomas R., Russo, Daniel P., Klein, Jennifer J., Hickey, Anthony J., Clark, Alex M.
Format: Artigo
Langue:Inglês
Publié: 2019
Sujets:
Accès en ligne: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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