Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data
TJ Kieran, X Sun, TR Maines, JA Belser - Communications Biology, 2024 - nature.com
In vivo assessments of influenza A virus (IAV) pathogenicity and transmissibility in ferrets
represent a crucial component of many pandemic risk assessment rubrics, but few …
represent a crucial component of many pandemic risk assessment rubrics, but few …
COVID-19 virus mutation prediction with LSTM and attention mechanisms
M Burukanli, N Yumuşak - The Computer Journal, 2024 - academic.oup.com
Abstract Coronavirus disease 2019 (COVID-19), caused by Severe Acute Respiratory
Syndrome Coronavirus 2, is an emerging and rapidly spreading type of coronavirus. One of …
Syndrome Coronavirus 2, is an emerging and rapidly spreading type of coronavirus. One of …
Computational methods to analyze RNA data for human diseases
RNA, as a type of nucleic acid, forms one of the four fundamental macromolecules crucial for
all known life forms. Unlike DNA (Deoxyribonucleic Acid), which typically serves as the …
all known life forms. Unlike DNA (Deoxyribonucleic Acid), which typically serves as the …
StackGridCov: a robust stacking ensemble learning-based model integrated with GridSearchCV hyperparameter tuning technique for mutation prediction of COVID-19 …
M Burukanli, N Yumuşak - Neural Computing and Applications, 2024 - Springer
The emergence of the coronavirus disease 2019 (COVID-19) pandemic has caused great
fear and panic around the world. In order to fight the COVID-19 virus, countries have had to …
fear and panic around the world. In order to fight the COVID-19 virus, countries have had to …
TfrAdmCov: a robust transformer encoder based model with Adam optimizer algorithm for COVID-19 mutation prediction
M Burukanli, N Yumuşak - Connection Science, 2024 - Taylor & Francis
The development of vaccines and drugs is very important in combating the coronavirus
disease 2019 (COVID-19) virus. The effectiveness of these developed vaccines and drugs …
disease 2019 (COVID-19) virus. The effectiveness of these developed vaccines and drugs …
CLCAP: Contrastive learning improves antigenicity prediction for influenza A virus using convolutional neural networks
Influenza viruses are detected year-round over the world and the viruses will usually
circulate during fall and winter, causing the seasonal flu. The growing novel variants of …
circulate during fall and winter, causing the seasonal flu. The growing novel variants of …
Jupytope: computational extraction of structural properties of viral epitopes
Epitope residues located on viral surface proteins are of immense interest in immunology
and related applications such as vaccine development, disease diagnosis and drug design …
and related applications such as vaccine development, disease diagnosis and drug design …