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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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Bibliografski detalji
Glavni autori: Kurczab, Rafał, Smusz, Sabina, Bojarski, Andrzej J
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2014
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4061540/
https://ncbi.nlm.nih.gov/pubmed/24976867
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1758-2946-6-32
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