Abstract
Protein classification is an important research topic in Bioinformatics. The Support Vector Machine (SVM) based methods, e.g. the SVM-PSV algorithm, are among the most successful ones. Based on our current work, this paper presents an alternative algorithm, the LS-StaticEField algorithm, for protein classification. The LS-StaticEField algorithm is more efficient to compute than SVM based ones and provides satisfying accuracy performance when compared with the SVM-PSV method in the experiments of homology detection based on the SCOP database.
Original language | English |
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Title of host publication | Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 |
DOIs | |
Publication status | Published - 2009 |
Event | 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 - Tianjin, China Duration: 17 Oct 2009 → 19 Oct 2009 |
Publication series
Name | Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 |
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Conference
Conference | 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 |
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Country/Territory | China |
City | Tianjin |
Period | 17/10/09 → 19/10/09 |
Keywords
- Bioinformatics
- LS-StaticEField
- SCOP
- SVM
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Li, Y. G., Liu, Z. Y., Zhang, F., & Qiu, Z. G. (2009). A new method for remote protein classification. In Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 Article 5302560 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009). https://doi.org/10.1109/BMEI.2009.5302560