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Machine learning models exploring characteristic single-nucleotide signatures in Yellow Fever Virus

2021-03-24

Abstract excerpt

Yellow fever virus (YFV) is the agent of the most severe mosquito-borne disease in the tropics. Recently, Brazil suffered major YFV outbreaks with a high fatality rate affecting areas where the virus has not been reported for decades, consisting of urban areas where a large number of unvaccinated people live. We developed a machine learning framework combining three different algorithms (XGBoost, random forest and...

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Identifiers and source

Literature Corpus work
d005f284-f7c0-51b8-a15f-0ed365539983
DOI
10.1101/2021.03.23.436688
Open publication

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Machine learning models exploring characteristic single-nucleotide signatures in Yellow Fever VirusDOI 10.1101/2021.03.23.436688
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