Drug activity prediction using multiple-instance learning via joint instance and feature selection

BACKGROUND: In drug discovery and development, it is crucial to determine which conformers (instances) of a given molecule are responsible for its observed biological activity and at the same time to recognize the most representative subset of features (molecular descriptors). Due to experimental di...

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Detalles Bibliográficos
Autores principales: Zhao, Zhendong, Fu, Gang, Liu, Sheng, Elokely, Khaled M, Doerksen, Robert J, Chen, Yixin, Wilkins, Dawn E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3850986/
https://www.ncbi.nlm.nih.gov/pubmed/24267824
http://dx.doi.org/10.1186/1471-2105-14-S14-S16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3850986/
https://www.ncbi.nlm.nih.gov/pubmed/24267824
http://dx.doi.org/10.1186/1471-2105-14-S14-S16

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