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_39
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.12.038216 doi: bioRxiv preprint Spreadability index definitely plays an important role in this proposed methodology. In fact, spreader nodes are successfully identified by the virtue of this scoring technique which covers all the aspects of transmitting infection from one node to another in a PPIN. It should be mentioned here that while i.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.12.038216 doi: bioRxiv preprint Spreadability index definitely plays an important role in this proposed methodology. In fact, spreader nodes are successfully identified by the virtue of this scoring technique which covers all the aspects of transmitting infection from one node to another in a PPIN. It should be mentioned here that while identifying spreader nodes in SARS-CoV level 2 human proteins, it has been noted that the number of nodes are getting increased largely with the increment of successive levels. So, high, medium and low threshold [33] have been applied and the entire disease transmission through spreadability index is computationally assessed at each threshold.
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