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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...

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Detalles Bibliográficos
Autores principales: Mervin, Lewis H., Trapotsi, Maria-Anna, Afzal, Avid M., Barrett, Ian P., Bender, Andreas, Engkvist, Ola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
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

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