The power metric: a new statistically robust enrichment-type metric for virtual screening applications with early recovery capability.

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作者： Julio Cesar Dias,Lopes ^[1] ; Fábio Mendes,Dos Santos ^[1] ; Andrelly,Martins-José ^[1] ; Koen,Augustyns ^[2] ; Hans,De Winter ^[2]

作者单位： NEQUIM - Chemoinformatics Group, Departamento de Quimica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil. ^[1] Medicinal Chemistry Group, Department of Pharmaceutical Sciences, University of Antwerp, Campus Drie Eiken, Building A, Universiteitsplein 1, 2610 Wilrijk, Antwerp Belgium. ^[2]

关键词 Area under the curve (AUC)Cohen’s kappa coefficient (CKC)Correct classification rate (CCR)Enrichment factor Matthews correlation coefficient (MCC)Metric Model performance Power metric (PM)Receiver operating curve enrichment factor (ROCE)Relative enrichment factor (REF)Virtual screening

DOI 10.1186/s13321-016-0189-4

PMID 28203291

发布时间 2020-09-30

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Journal of cheminformatics

2017年9卷

7页

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The power metric: a new statistically robust enrichment-type metric for virtual screening applications with early recovery capability.

Journal of cheminformatics

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The power metric: a new statistically robust enrichment-type metric for virtual screening applications with early recovery capability.

Journal of cheminformatics

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Journal of cheminformatics

相关期刊

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