Selected article for: "epidemic outbreak and gene sequence"
Author: Markus Luczak-Roesch
Title: Networks of information token recurrences derived from genomic sequences may reveal hidden patterns in epidemic outbreaks: A case study of the 2019-nCoV coronavirus.
  • Document date: 2020_2_11
    • ID: kevrp8rg_2
    Snippet: Here we present a novel approach to gain insights into the transmission dynamics of an epidemic outbreak. Our method is based on Transcendental Information Cascades [16, 17] and combines gene sequence analysis with temporal data mining to uncover potential relationships between a virus' genetic evolution and distinct occurrences of infections. We apply this new approach to publicly available genomic sequence data from the currently ongoing outbre.....
    Document: Here we present a novel approach to gain insights into the transmission dynamics of an epidemic outbreak. Our method is based on Transcendental Information Cascades [16, 17] and combines gene sequence analysis with temporal data mining to uncover potential relationships between a virus' genetic evolution and distinct occurrences of infections. We apply this new approach to publicly available genomic sequence data from the currently ongoing outbreak of the 2019-nCoV coronavirus.

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