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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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| Veröffentlicht in: | Molecules |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6332304/ https://ncbi.nlm.nih.gov/pubmed/26569196 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/molecules201119679 |
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