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_17
Snippet: So to measure information token entropy we assess which unique codon identifiers were seen up to a progression step and how often these were seen. This allows to compute the probability for every codon identifier, which then can be used to determine the information token entropy up to that point following the definition of Shannon entropy given as follows:.....
Document: So to measure information token entropy we assess which unique codon identifiers were seen up to a progression step and how often these were seen. This allows to compute the probability for every codon identifier, which then can be used to determine the information token entropy up to that point following the definition of Shannon entropy given as follows:
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