Author: Alguwaizani, Saud; Park, Byungkyu; Zhou, Xiang; Huang, De-Shuang; Han, Kyungsook
Title: Predicting Interactions between Virus and Host Proteins Using Repeat Patterns and Composition of Amino Acids Document date: 2018_5_9
ID: 0dxrai3j_15
Snippet: We built several support vector machine (SVM) models using LIBSVM [19] to evaluate our approach. e radial basis function (RBF) was used as a kernel of the SVM models, and the best values of parameters C and c were obtained by running the grid search of LIBSVM on training datasets. Unless specified otherwise, the results shown in this paper were obtained with C � 2 and c � 0.5. e SVM models take a pair of virus and host protein sequences as in.....
Document: We built several support vector machine (SVM) models using LIBSVM [19] to evaluate our approach. e radial basis function (RBF) was used as a kernel of the SVM models, and the best values of parameters C and c were obtained by running the grid search of LIBSVM on training datasets. Unless specified otherwise, the results shown in this paper were obtained with C � 2 and c � 0.5. e SVM models take a pair of virus and host protein sequences as input. As output, the SVM models classify whether or not the virus protein interacts with the host protein.
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