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Prediction and Classification of Human G-protein Coupled Receptors Based on Support Vector Machines
A computational system for the prediction and classification of human G-protein coupled receptors (GPCRs) has been developed based on the support vector machine (SVM) method and protein sequence information. The feature vectors used to develop the SVM prediction models consist of statistically signi...
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| Publié dans: | Genomics Proteomics Bioinformatics |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2005
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5173243/ https://ncbi.nlm.nih.gov/pubmed/16689693 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/S1672-0229(05)03034-2 |
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