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Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertainty
Measurements of protein–ligand interactions have reproducibility limits due to experimental errors. Any model based on such assays will consequentially have such unavoidable errors influencing their performance which should ideally be factored into modelling and output predictions, such as the actua...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375213/ https://www.ncbi.nlm.nih.gov/pubmed/34412708 http://dx.doi.org/10.1186/s13321-021-00539-7 |