Human Genome Polymorphisms and Computational Intelligence Approach Revealed a Complex Genomic Signature for COVID-19 Severity in Brazilian Patients

Human Genome Polymorphisms and Computational Intelligence Approach Revealed a Complex Genomic Signature for COVID-19 Severity in Brazilian Patients

We present a genome polymorphisms/machine learning approach for severe COVID-19 prognosis. Ninety-six Brazilian severe COVID-19 patients and controls were genotyped for 296 innate immunity loci. Our model used a feature selection algorithm, namely recursive feature elimination coupled with a support...

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Bibliografiska uppgifter
Huvudupphovsmän: André Filipe Pastor, Cássia Docena, Antônio Mauro Rezende, Flávio Rosendo da Silva Oliveira, Marília de Albuquerque Sena, Clarice Neuenschwander Lins de Morais, Cristiane Campello Bresani-Salvi, Luydson Richardson Silva Vasconcelos, Kennya Danielle Campelo Valença, Carolline de Araújo Mariz, Carlos Brito, Cláudio Duarte Fonseca, Cynthia Braga, Christian Robson de Souza Reis, Ernesto Torres de Azevedo Marques, Bartolomeu Acioli-Santos
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2023-02-01
Serie:Viruses
Ämnen:
COVID-19 genetics
SARS-CoV-2 infection
complex genomic classifier
machine learning
Länkar:https://www.mdpi.com/1999-4915/15/3/645

Internet

https://www.mdpi.com/1999-4915/15/3/645

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