A new method for remote protein classification

Yu Gang Li*, Zhi Yong Liu, Fa Zhang, Zhen Ge Qiu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationProceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
DOIs
Publication statusPublished - 2009
Event2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 - Tianjin, China
Duration: 17 Oct 200919 Oct 2009

Publication series

NameProceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Conference

Conference2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
Country/TerritoryChina
CityTianjin
Period17/10/0919/10/09

Keywords

  • Bioinformatics
  • LS-StaticEField
  • SCOP
  • SVM

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