A ranking method for the concurrent learning of compounds with various activity profiles

BACKGROUND: In this study, we present a SVM-based ranking algorithm for the concurrent learning of compounds with different activity profiles and their varying prioritization. To this end, a specific labeling of each compound was elaborated in order to infer virtual screening models against multiple...

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Detalles Bibliográficos
Autores principales: Dörr, Alexander, Rosenbaum, Lars, Zell, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4306736/
https://www.ncbi.nlm.nih.gov/pubmed/25643067
http://dx.doi.org/10.1186/s13321-014-0050-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4306736/
https://www.ncbi.nlm.nih.gov/pubmed/25643067
http://dx.doi.org/10.1186/s13321-014-0050-6

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