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Extremely Randomized Machine Learning Methods for Compound Activity Prediction

Speed, a relatively low requirement for computational resources and high effectiveness of the evaluation of the bioactivity of compounds have caused a rapid growth of interest in the application of machine learning methods to virtual screening tasks. However, due to the growth of the amount of data...

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Detalles Bibliográficos
Autores principales:	Czarnecki, Wojciech M., Podlewska, Sabina, Bojarski, Andrzej J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2015
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332304/ https://www.ncbi.nlm.nih.gov/pubmed/26569196 http://dx.doi.org/10.3390/molecules201119679

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