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...
| Published in: | BioMed Research International Vol. 2015; pp. 1 - 14 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Published: |
Wiley-Blackwell
10/4/2015
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| Online Access: | View this record in EBSCOhost |