VGIchan: Prediction and Classification of Voltage-Gated Ion Channels
This study describes methods for predicting and classifying voltage-gated ion channels. Firstly, a standard support vector machine (SVM) method was developed for predicting ion channels by using amino acid composition and dipeptide composition, with an accuracy of 82.89% and 85.56%, respectively. Th...
| Main Authors: | , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Elsevier
2006
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054079/ |