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
