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Host genetics and COVID-19 severity: increasing the accuracy of latest severity scores by Boolean quantum features

2023-02-07

Abstract excerpt

<h4>ABSTRACT</h4> The impact of common and rare variants in COVID-19 host genetics is widely studied in [16]. Here, common and rare variants were used to define an interpretable machine learning model for predicting COVID-19 severity. Firstly, variants were converted into sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models wa...

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Literature Corpus work
a7395704-a29f-569f-842b-ac4bf219bab4
DOI
10.1101/2023.02.06.527291
Open publication

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Host genetics and COVID-19 severity: increasing the accuracy of latest severity scores by Boolean quantum featuresDOI 10.1101/2023.02.06.527291
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