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    政大機構典藏 > 商學院 > 統計學系 > 會議論文 >  Item 140.119/79305
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/79305

    Title: Segmentation Based Feature Selection on Classifying Proteomic Spectral Data
    Authors: 郭訓志
    Kuo, Hsun-Chih;Yeh, Sheng-Tzung
    Contributors: 統計系
    Date: 2015
    Issue Date: 2015-11-03 16:57:53 (UTC+8)
    Abstract: Feature selection has been an important issue for classification of proteomic mass spectra data since researchers are often interested in identifying potentially important biomarkers. In this study, a segmentation approach is adopted to locate the potential biomarker regions from the possible m/z range. Illustration is through real prostate cancer proteomic mass spectra data.
    Relation: Lecture Notes in Computer Science,LNAI,112-119
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1007/978-3-319-19369-4_11
    DOI: 10.1007/978-3-319-19369-4_11
    Appears in Collections:[統計學系] 會議論文

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