The influence of negative training set size on machine learning-based virtual screening

BACKGROUND: The paper presents a thorough analysis of the influence of the number of negative training examples on the performance of machine learning methods. RESULTS: The impact of this rather neglected aspect of machine learning methods application was examined for sets containing a fixed number...

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Detalles Bibliográficos
Autores principales: Kurczab, Rafał, Smusz, Sabina, Bojarski, Andrzej J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061540/
https://www.ncbi.nlm.nih.gov/pubmed/24976867
http://dx.doi.org/10.1186/1758-2946-6-32

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061540/
https://www.ncbi.nlm.nih.gov/pubmed/24976867
http://dx.doi.org/10.1186/1758-2946-6-32

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