Predicting the temperature of thermostable proteins based on hurst exponent and choquet integral

Hsiang Chuan Liu, Wei Sung Chen, Shang Ling Ou, Yih Chang Ou, Hsien Chang Tsai, Jing Ming Ju

研究成果: Article

摘要

In this paper, for predicting the temperature of thermostable proteins on some useful physicochemical quantities of each amino symbolic sequence with different lengths, a novel integrated algorithm of Hurst exponent and Choquet integral with respect to extensional Lambda-measure was proposed. A real data set of the temperature of thermostable proteins with 5-fold cross-validation MSE was used for evaluation. The performances of the Choquet integral regression models based on extensional Lambdameasure, completed L-measure, Lambda-measure, and the P-measure, respectively, along with two traditional regression models, the multiple regression model and the ridge regression model were compared. The results show the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to extensional Lambda-measure outperforms the others.

原文English
頁(從 - 到)1937-1942
頁數6
期刊ICIC Express Letters
7
發行號6
出版狀態Published - 2013 六月 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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  • 引用此

    Liu, H. C., Chen, W. S., Ou, S. L., Ou, Y. C., Tsai, H. C., & Ju, J. M. (2013). Predicting the temperature of thermostable proteins based on hurst exponent and choquet integral. ICIC Express Letters, 7(6), 1937-1942.