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

    3 Citations (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
    Country/TerritoryChina
    CitySanya, Hainan
    Period08/5/2708/5/30

    ASJC Scopus subject areas

    • Information Systems
    • Signal Processing
    • Biomedical Engineering

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