Influenza virus genotype to phenotype predictions through machine learning: a systematic review: computational prediction of influenza phenotype

LK Borkenhagen, MW Allen… - Emerging microbes & …, 2021 - Taylor & Francis
Background: There is great interest in understanding the viral genomic predictors of
phenotypic traits that allow influenza A viruses to adapt to or become more virulent in …

Predicting influenza A tropism with end-to-end learning of deep networks

D Scarafoni, BA Telfer, DO Ricke, JR Thornton… - Health …, 2019 - liebertpub.com
The type of host that a virus can infect, referred to as host specificity or tropism, influences
infectivity and thus is important for disease diagnosis, epidemic response, and prevention …

Improving pandemic influenza risk assessment

CA Russell, PM Kasson, RO Donis, S Riley, J Dunbar… - Elife, 2014 - elifesciences.org
Assessing the pandemic risk posed by specific non-human influenza A viruses is an
important goal in public health research. As influenza virus genome sequencing becomes …

ViPal: a framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences

R Yin, Z Luo, P Zhuang, M Zeng, M Li, Z Lin… - Journal of biomedical …, 2023 - Elsevier
Influenza viruses pose great threats to public health and cause enormous economic losses
every year. Previous work has revealed the viral factors associated with the virulence of …

Predicting zoonotic risk of influenza A viruses from host tropism protein signature using random forest

CLP Eng, JC Tong, TW Tan - International journal of molecular sciences, 2017 - mdpi.com
Influenza A viruses remain a significant health problem, especially when a novel subtype
emerges from the avian population to cause severe outbreaks in humans. Zoonotic viruses …

FluPMT: Prediction of predominant strains of influenza a viruses via multi-task learning

C Cai, J Li, Y Xia, W Li - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
Seasonal influenza vaccines play a crucial role in saving numerous lives annually.
However, the constant evolution of the influenza A virus necessitates frequent vaccine …

Predicting the short-term success of human influenza virus variants with machine learning

M Hayati, P Biller, C Colijn - Proceedings of the Royal …, 2020 - royalsocietypublishing.org
Seasonal influenza viruses are constantly changing and produce a different set of circulating
strains each season. Small genetic changes can accumulate over time and result in …

Phylogenetic identification of influenza virus candidates for seasonal vaccines

M Hayati, B Sobkowiak, JE Stockdale, C Colijn - Science Advances, 2023 - science.org
The seasonal influenza (flu) vaccine is designed to protect against those influenza viruses
predicted to circulate during the upcoming flu season, but identifying which viruses are likely …

[HTML][HTML] Dive into machine learning algorithms for influenza virus host prediction with hemagglutinin sequences

Y Xu, D Wojtczak - Biosystems, 2022 - Elsevier
Influenza viruses mutate rapidly and can pose a threat to public health, especially to those in
vulnerable groups. Throughout history, influenza A viruses have caused pandemics …

Predicting host tropism of influenza A virus proteins using random forest

CLP Eng, JC Tong, TW Tan - BMC medical genomics, 2014 - Springer
Background Majority of influenza A viruses reside and circulate among animal populations,
seldom infecting humans due to host range restriction. Yet when some avian strains do …