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Maximizing gain in high-throughput screening using conformal prediction
Iterative screening has emerged as a promising approach to increase the efficiency of screening campaigns compared to traditional high throughput approaches. By learning from a subset of the compound library, inferences on what compounds to screen next can be made by predictive models, resulting in...
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| Publicado no: | J Cheminform |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5821614/ https://ncbi.nlm.nih.gov/pubmed/29468427 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-018-0260-4 |
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