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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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書目詳細資料
發表在:Nat Mater
Main Authors: Ekins, Sean, Puhl, Ana C., Zorn, Kimberley M., Lane, Thomas R., Russo, Daniel P., Klein, Jennifer J., Hickey, Anthony J., Clark, Alex M.
格式: Artigo
語言:Inglês
出版: 2019
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在線閱讀: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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