Cargando…
Validating the validation: reanalyzing a large-scale comparison of deep learning and machine learning models for bioactivity prediction
Machine learning methods may have the potential to significantly accelerate drug discovery. However, the increasing rate of new methodological approaches being published in the literature raises the fundamental question of how models should be benchmarked and validated. We reanalyze the data generat...
Autores principales: | Robinson, Matthew C., Glen, Robert C., Lee, Alpha A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292817/ https://www.ncbi.nlm.nih.gov/pubmed/31960253 http://dx.doi.org/10.1007/s10822-019-00274-0 |
Ejemplares similares
-
A validation of the two-high threshold eyewitness identification model by reanalyzing published data
por: Menne, Nicola Marie, et al.
Publicado: (2022) -
Comparison of the Validity and Generalizability of Machine Learning Algorithms for the Prediction of Energy Expenditure: Validation Study
por: O'Driscoll, Ruairi, et al.
Publicado: (2021) -
Large scale machine learning with Python: learn to build powerful machine learning models quickly and deploy large-scale predictive applications
por: Sjardin, Bastiaan, et al.
Publicado: (2016) -
Systematic comparison of machine learning algorithms to develop and validate predictive models for periodontitis
por: Bashir, Nasir Z., et al.
Publicado: (2022) -
Comparison and Validation of Deep Learning Models for the Diagnosis of Pneumonia
por: Yue, Zhenjia, et al.
Publicado: (2020)