Selected article for: "mean distance and Urbani BJ01"
Author: Karthi Balasubramanian; Nithin Nagaraj
Title: Automatic Identification of SARS Coronavirus using Compression-Complexity Measures
  • Document date: 2020_3_27
    • ID: ljli6a2z_50
    Snippet: The results were statistically validated with 95% confidence interval plots as shown in Figure 2 . Based on the sample data, at an overall error rate of 5%, we can conclude that both LZ and ETC are able to identify the SARS coronaviruses from the given set of viruses using only short contiguous segments consisting of 30 nucleic bases chosen independently from random locations (100 such segments) of the entire sequence. Figure 2 : 95% confidence i.....
    Document: The results were statistically validated with 95% confidence interval plots as shown in Figure 2 . Based on the sample data, at an overall error rate of 5%, we can conclude that both LZ and ETC are able to identify the SARS coronaviruses from the given set of viruses using only short contiguous segments consisting of 30 nucleic bases chosen independently from random locations (100 such segments) of the entire sequence. Figure 2 : 95% confidence interval for mean d LZ (left) and d ET C (right) distance measures for the three viruses (pairwise) -Avian, BJ01 and Urbani. The distance between the two SARS-CoV-1 viruses is clearly the least for both LZ and ETC.

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