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A Novel Classification Algorithm of Thermostable Proteins by Using Hurst Exponent and SVM Classifier

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6 Author(s)
Hsiang-Chuan Liu ; Dept. of Bioinf., Asia Univ., Taichung ; Horng-Jinh Chang ; Kuei-Jen Lee ; Jiunn-I Shieh
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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.

Published in:

2008 Fourth International Conference on Natural Computation  (Volume:5 )

Date of Conference:

18-20 Oct. 2008