Selected article for: "expression level and protein expression"
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_20
    Snippet: Because not all human proteins were observed in the human PPI network used or had observed expressions in the data used, only the human proteins with all three protein features, i.e., the N-glycosylation level, node degree and expression in common human tissues, were used in the modeling. Besides, the sequence redundancy in both human virus receptor proteins and human membrane proteins were removed using CD-HIT (version 4.8.1) (Fu et al., 2012) a.....
    Document: Because not all human proteins were observed in the human PPI network used or had observed expressions in the data used, only the human proteins with all three protein features, i.e., the N-glycosylation level, node degree and expression in common human tissues, were used in the modeling. Besides, the sequence redundancy in both human virus receptor proteins and human membrane proteins were removed using CD-HIT (version 4.8.1) (Fu et al., 2012) at 70% identity level. Finally, a total of 88 human virus receptors and 1,593 human membrane proteins was used in the machine learning modeling.

    Search related documents:
    Co phrase search for related documents
    • expression node degree and node degree: 1, 2
    • human membrane and machine learning: 1, 2
    • human membrane and PPI network: 1, 2
    • human membrane and protein feature: 1, 2
    • human membrane protein and PPI network: 1
    • human membrane protein and protein feature: 1
    • human protein and identity level: 1, 2
    • human protein and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
    • human protein and machine learning modeling: 1, 2
    • human protein and node degree: 1
    • human protein and PPI network: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19
    • human protein and protein feature: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
    • human tissue and machine learning: 1, 2, 3, 4, 5, 6, 7
    • human tissue and machine learning modeling: 1
    • human virus and identity level: 1, 2, 3, 4
    • human virus and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • human virus and machine learning modeling: 1
    • human virus and PPI network: 1, 2, 3, 4, 5, 6, 7
    • human virus and protein feature: 1, 2, 3, 4, 5, 6, 7