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    題名: Subcellular Localization Prediction of Eukaryotic Protein
    作者: Chen Shih Hao
    貢獻者: Department of Bioinformatics
    關鍵詞: Subcellular Localization
    日期: 2004
    上傳時間: 2009-11-06 22:31:29 (UTC+8)
    出版者: Asia University
    摘要: 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
    顯示於類別:[生物資訊與醫學工程學系 ] 博碩士論文


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