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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2015
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| Materias: | |
| 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 |