Selected article for: "good model and training dataset"
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_28
    Snippet: In order to examine the applicability of the SVM model to new hosts, we tested it on PPIs of viruses with new hosts, which were not used in training the model. As described earlier, the model trained with PPIs of human with +ssRNA viruses was tested on PPIs of five new hosts (Mus musculus, Bos taurus, Rattus norvegicus, Sus scrofa, and Escherichia coli K-12) with the viruses. As shown earlier in Table 5 , the average sequence similarity of the hu.....
    Document: In order to examine the applicability of the SVM model to new hosts, we tested it on PPIs of viruses with new hosts, which were not used in training the model. As described earlier, the model trained with PPIs of human with +ssRNA viruses was tested on PPIs of five new hosts (Mus musculus, Bos taurus, Rattus norvegicus, Sus scrofa, and Escherichia coli K-12) with the viruses. As shown earlier in Table 5 , the average sequence similarity of the human proteins in the training dataset to the new hosts is low, ranging between 8.04% and 9.76%. Despite the low sequence similarity and species difference, testing the model on PPIs of new hosts showed a relatively good performance (Table 7 ). Figure 5 shows the ROC curves of independent testing of the SVM model on PPIs of five new hosts.

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