Cargando…
The influence of the inactives subset generation on the performance of machine learning methods
BACKGROUND: A growing popularity of machine learning methods application in virtual screening, in both classification and regression tasks, can be observed in the past few years. However, their effectiveness is strongly dependent on many different factors. RESULTS: In this study, the influence of th...
Autores principales: | Smusz, Sabina, Kurczab, Rafał, Bojarski, Andrzej J |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3626618/ https://www.ncbi.nlm.nih.gov/pubmed/23561266 http://dx.doi.org/10.1186/1758-2946-5-17 |
Ejemplares similares
-
The influence of training actives/inactives ratio on machine learning performance
por: Kurczab, Rafał, et al.
Publicado: (2013) -
The influence of hashed fingerprints density on the machine learning methods performance
por: Smusz, Sabina, et al.
Publicado: (2013) -
The influence of negative training set size on machine learning-based virtual screening
por: Kurczab, Rafał, et al.
Publicado: (2014) -
Evaluation of different machine learning methods for ligand-based virtual screening
por: Kurczab, R, et al.
Publicado: (2011) -
The influence of the negative-positive ratio and screening database size on the performance of machine learning-based virtual screening
por: Kurczab, Rafał, et al.
Publicado: (2017)