Selected article for: "extremely low spreadability index and threshold application"
Author: Sovan Saha; Piyali Chatterjee; Subhadip Basu; Mita Nasipuri
Title: Detection of spreader nodes and ranking of interacting edges in Human-SARS-CoV protein interaction network
  • Document date: 2020_4_14
    • ID: 5jccb3nh_42
    Snippet: Beside identification of spreader nodes, spreader edges are also identified. The ranked edges between SARS-CoV spreaders and its level 1 human spreaders is highlighted in Table 13 while the ranked edges between SARS low threshold are highlighted in respectively. 24 24 24 The network statistics of spreader nodes at each level of threshold is shown in Table 12 observed that threshold application is only implemented at SARS-CoV level 2 human protein.....
    Document: Beside identification of spreader nodes, spreader edges are also identified. The ranked edges between SARS-CoV spreaders and its level 1 human spreaders is highlighted in Table 13 while the ranked edges between SARS low threshold are highlighted in respectively. 24 24 24 The network statistics of spreader nodes at each level of threshold is shown in Table 12 observed that threshold application is only implemented at SARS-CoV level 2 human proteins not on others. This is because of the availability of very less number of nodes and edges. Only nodes and edges having extremely low spreadability index have been discarded at the first level.

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