Deciding when to stop: efficient experimentation to learn to predict drug-target interactions

BACKGROUND: Active learning is a powerful tool for guiding an experimentation process. Instead of doing all possible experiments in a given domain, active learning can be used to pick the experiments that will add the most knowledge to the current model. Especially, for drug discovery and developmen...

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Detalles Bibliográficos
Autores principales: Temerinac-Ott, Maja, Naik, Armaghan W, Murphy, Robert F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495685/
https://www.ncbi.nlm.nih.gov/pubmed/26153434
http://dx.doi.org/10.1186/s12859-015-0650-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495685/
https://www.ncbi.nlm.nih.gov/pubmed/26153434
http://dx.doi.org/10.1186/s12859-015-0650-9

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