Feature selection using multi-layer perceptron in HIV-1 protease cleavage data

Gilhan Kim, Yeonjoo Kim, Hyeoncheol Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Recently, several machine learning approaches have been applied to modeling of the specificity for HIV-1 protease cleavage domain. However, HIV-1 protease cleavage domain with high dimensionality and small number of samples could misguide classification modeling and its interpretation. Thus, a method to select a smaller number of relevant features is required. Appropriate feature selection could eliminate irrelevant and redundant features, and thus, improves prediction performance and provides faster and more cost-effective models. As a result, we can gain deeper insight about dataset. In this paper, we introduce a new feature selection method, called FS-MLP, that extracts relevant features using multi-layered perceptron learning. With the method, we could extract a set of effective features in a multi-variate and non-linear way. Our experimental results on three types of artificial datasets and HIV-1 protease cleavage dataset show that performance of the FS-MLP is higher than other methods.

Original languageEnglish
Title of host publicationBioMedical Engineering and Informatics
Subtitle of host publicationNew Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Pages279-283
Number of pages5
DOIs
Publication statusPublished - 2008
EventBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 - Sanya, Hainan, China
Duration: 2008 May 272008 May 30

Publication series

NameBioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Volume1

Other

OtherBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
CountryChina
CitySanya, Hainan
Period08/5/2708/5/30

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Biomedical Engineering

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  • Cite this

    Kim, G., Kim, Y., & Kim, H. (2008). Feature selection using multi-layer perceptron in HIV-1 protease cleavage data. In BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 (pp. 279-283). [4548677] (BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008; Vol. 1). https://doi.org/10.1109/BMEI.2008.169