Academic Journal
Infinity: A fast machine learning-based application for human influenza A and B virus subtyping
| العنوان: | Infinity: A fast machine learning-based application for human influenza A and B virus subtyping |
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| المؤلفون: | Cacciabue, Marco, Marcone, Débora N. |
| المصدر: | Influenza and Other Respiratory Viruses. Vol.17, No.1, 2023 |
| بيانات النشر: | John Wiley & Sons |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | CLADOS, GRUPOS GENETICOS, HEMAGLUTININA, INFLUENZA, APRENDIZAJE AUTOMÁTICO, SECUENCIA, SUBCLADOS, SUBTIPIFICACIÓN |
| الوصف: | Influenza viruses are one of the main agents causing acute respiratory infections (ARI) in humans resulting in a large amount of illness and death globally.1,2 The influenza viruses classification is based on the nomenclature proposed by the World Health Organization (WHO)3 that is widely accepted and used by the medical and scientific communities throughout the world. Since the pandemic in 2009, two subtypes of human influenza A viruses, A(H1N1)pdm09 and A(H3N2), and two lineages of influenza B, B/Victoria and B/Yamagata, have been responsible for the vast majority of cases each year. Within each subtype and lineage, different clades and genetic groups were described to reflect the continuous viral evolution, driven by antigenic drift. The WHO Global Influenza Surveillance and Response System (GISRS) studies human influenza viruses from >110 countries, to monitor circulating strains, understand epidemiology and evolution, and contribute to verify the vaccine effectiveness and update its formulation each year.4,5 A growing number of laboratories and research centers is contributing to this initiative by sequencing the whole viral genome or the hemagglutinin (HA) gene from local strains. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | Cacciabue, M., Marcone, D. N. Infinity: A fast machine learning-based application for human influenza A and B virus subtyping [en línea]. Influenza and Other Respiratory Viruses. 2023, 17(1). doi:10.1111/irv.13096. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/16351; 1750-2659 (online); 1750-2640 (impreso); https://repositorio.uca.edu.ar/handle/123456789/16351 |
| DOI: | 10.1111/irv.13096 |
| الاتاحة: | https://repositorio.uca.edu.ar/handle/123456789/16351 https://doi.org/10.1111/irv.13096 |
| Rights: | Acceso abierto ; http://creativecommons.org/licenses/by-nc-sa/4.0/ |
| رقم الانضمام: | edsbas.71B70EBA |
| قاعدة البيانات: | BASE |
| DOI: | 10.1111/irv.13096 |
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