A Genetic Algorithm Based Support Vector Machine Model for Blood-Brain Barrier Penetration Prediction

Blood-brain barrier (BBB) is a highly complex physical barrier determining what substances are allowed to enter the brain. Support vector machine (SVM) is a kernel-based machine learning method that is widely used in QSAR study. For a successful SVM model, the kernel parameters for SVM and feature s...

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Detalles Bibliográficos
Autores principales: Zhang, Daqing, Xiao, Jianfeng, Zhou, Nannan, Zheng, Mingyue, Luo, Xiaomin, Jiang, Hualiang, Chen, Kaixian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609370/
https://www.ncbi.nlm.nih.gov/pubmed/26504797
http://dx.doi.org/10.1155/2015/292683

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609370/
https://www.ncbi.nlm.nih.gov/pubmed/26504797
http://dx.doi.org/10.1155/2015/292683

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