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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8786

    Title: A novel classification algorithm of thermostable proteins by using hurst exponent and SVM classifier
    Authors: Liu, Hsiang-Chuan;Chang, Horng-Jinh;Lee, Kuei-Jen;Shieh, Jiunn-I;Huang, Wen-Chun;Huang, Shin-Ming
    Contributors: Department of Bioinformatics
    Keywords: Classifiers;Learning systems;Proteins;Classification algorithms;Fractal properties;Hurst exponents;Leave one outs;New algorithms;Real datums;Support vectors;Svm classifiers
    Date: 2008
    Issue Date: 2010-04-08 20:06:06 (UTC+8)
    Publisher: Asia University
    Abstract: In search of good classification algorithm of thermostable proteins is an important issue. In this paper, a novel classification algorithm of thermostable proteins by using Hurst exponent and SVM classifier is proposed. This method not used before is the first one integrating the physics-chemistry properties, fractal property and support vector machine (SVM) classifier. For evaluating the performance of this new algorithm, a real data experiment by using 5-fold and Leave-one-out Cross-Validation accuracy is conducted. Experimental result shows that this new classification algorithm is feasible and useful.
    Relation: Proceedings - 4th International Conference on Natural Computation, ICNC 2008 5 :24-27
    Appears in Collections:[生物資訊與醫學工程學系 ] 會議論文

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