A novel data augmentation approach for influenza A subtype prediction based on HA proteins

Influenza, a pervasive viral respiratory illness, remains a significant global health concern. The influenza A virus, capable of causing pandemics, necessitates timely identification of specific subtypes for effective prevention and control, as highlighted by the World Health Organization. The genet...

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Veröffentlicht in:	Computers in biology and medicine 2024-04, Vol.172, p.108316, Article 108316
Hauptverfasser:	Sohrabi, Mohammad Amin, Zare-Mirakabad, Fatemeh, Ghidary, Saeed Shiri, Saadat, Mahsa, Sadegh-Zadeh, Seyed-Ali
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Amino Acid Sequence Annotations Classification Data augmentation Datasets Genetic diversity Global health Glycoproteins Hemagglutinin Glycoproteins, Influenza Virus - genetics Hemagglutinin Glycoproteins, Influenza Virus - metabolism Hemagglutinins Humans Influenza Influenza A Influenza A virus - genetics Influenza A virus - metabolism Influenza, Human NLP Pandemics Performance evaluation Pre-trained transformer Predictions PreIS Protein data augmentation Proteins Public health Supervised data augmentation Viruses
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