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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...
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| Publicado no: | Genomics Proteomics Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2006
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5054079/ https://ncbi.nlm.nih.gov/pubmed/17531801 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/S1672-0229(07)60006-0 |
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