By using of the composite vector with increment of diversity and scoring function to express the information of sequence, a support vector machine (SVM) algorithm for predicting the eight types of membrane proteins is proposed. The overall jackknife success rate is 91.81% what is higher than other results. In order to evaluate the predictive method, the six types of membrane proteins are predicted by using our method. The better results are obtained.
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Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Date of Conference: 17-19 Oct. 2009