Author: Zheng Zhang; Sifan Ye; Aiping Wu; Taijiao Jiang; Yousong Peng
Title: Prediction of receptorome for human-infecting virome Document date: 2020_2_28
ID: 9ruhvpbv_33
Snippet: To further improve the model for predicting receptorome of human-infecting virome, we incorporated the protein features and the top ten most important k-mers of two amino acids in the modeling. The RF model achieved an AUC of 0.77. The prediction accuracy, sensitivity and specificity of the model equaled 0.80, 0.73 and 0.80, respectively ( Table 1) . The model combining both the protein features and k-mers was used for further analysis......
Document: To further improve the model for predicting receptorome of human-infecting virome, we incorporated the protein features and the top ten most important k-mers of two amino acids in the modeling. The RF model achieved an AUC of 0.77. The prediction accuracy, sensitivity and specificity of the model equaled 0.80, 0.73 and 0.80, respectively ( Table 1) . The model combining both the protein features and k-mers was used for further analysis.
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