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

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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Bibliographic Details
Main Authors: Zhang, Daqing, Xiao, Jianfeng, Zhou, Nannan, Zheng, Mingyue, Luo, Xiaomin, Jiang, Hualiang, Chen, Kaixian
Format: Online
Language:English
Published: Hindawi Publishing Corporation 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609370/

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609370/

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