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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Detalles Bibliográficos
Autores principales: Pastor, André Filipe, Docena, Cássia, Rezende, Antônio Mauro, Oliveira, Flávio Rosendo da Silva, Sena, Marília de Albuquerque, de Morais, Clarice Neuenschwander Lins, Bresani-Salvi, Cristiane Campello, Vasconcelos, Luydson Richardson Silva, Valença, Kennya Danielle Campelo, Mariz, Carolline de Araújo, Brito, Carlos, Fonseca, Cláudio Duarte, Braga, Cynthia, Reis, Christian Robson de Souza, Marques, Ernesto Torres de Azevedo, Acioli-Santos, Bartolomeu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10059592/
https://www.ncbi.nlm.nih.gov/pubmed/36992353
http://dx.doi.org/10.3390/v15030645

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10059592/
https://www.ncbi.nlm.nih.gov/pubmed/36992353
http://dx.doi.org/10.3390/v15030645

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