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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/2535

    Title: Subcellular Localization Prediction of Eukaryotic Protein
    Authors: Chen Shih Hao
    Contributors: Department of Bioinformatics
    Keywords: Subcellular Localization
    Date: 2004
    Issue Date: 2009-11-06 22:31:29 (UTC+8)
    Publisher: Asia University
    Abstract: Biologically, the function of a protein is highly related to its subcellular localization. Accordingly, it is necessary to develop an automatic yet reliable method for protein subcellular localization prediction, especially when large-scale genome sequences are to be analyzed. Various methods have been proposed to perform the task. The results, however, are not satisfactory in terms of effectiveness and efficiency. In this paper, the proposed Bayesian inference method and The Information Gain used to observed important information, Moreover, the Nearest Neighbor Classification is considerably effective for subcellular localization prediction in a supervised fashion
    Appears in Collections:[生物資訊與醫學工程學系 ] 博碩士論文

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