A Novel Prediction Algorithm of Thermostable Proteins by Using Hurst Exponent and Choquet Integral Regression Model

In search of good prediction algorithm of thermostable proteins is an important issue. In this paper, a novel prediction algorithm of thermostable proteins by using Hurst exponent and Choquet integral regression model based on lambda-measure and gamma-support is proposed. This method not used before is the first one integrating the physicochemical properties, fractal property and Choquet integral regression model. For evaluating the performance of this new algorithm, a real data experiment by using leave-one-out cross-validation accuracy is conducted. Experimental result shows that this new classification algorithm is useful and batter than those methods by using Hurst exponent and the traditional prediction models, multiple regression model and ridge regression model.