Author: Alejandro Lopez-Rincon; Alberto Tonda; Lucero Mendoza-Maldonado; Eric Claassen; Johan Garssen; Aletta D. Kraneveld
Title: Accurate Identification of SARS-CoV-2 from Viral Genome Sequences using Deep Learning Document date: 2020_3_14
ID: c2lljdi7_55
Snippet: For each of the discovered sequences we then calculate the frequency of ap-290 pearance in both asymptomatic and symptomatic patients. The results are reported in Table 7 . It is important to notice that the sequences discovered for this experiment do not overlap with those identified in previous validations, as the objective of this last test is considerably different: While in previous experiments the aim was to separate SARS-CoV-2 samples from.....
Document: For each of the discovered sequences we then calculate the frequency of ap-290 pearance in both asymptomatic and symptomatic patients. The results are reported in Table 7 . It is important to notice that the sequences discovered for this experiment do not overlap with those identified in previous validations, as the objective of this last test is considerably different: While in previous experiments the aim was to separate SARS-CoV-2 samples from other virus strains, 295 here the goal is to separate SARS-CoV-2 patients that require hospitalization from those who do not.
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