AIMC Topic: Influenza A virus

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Machine Learning Methods for Predicting Human-Adaptive Influenza A Viruses Based on Viral Nucleotide Compositions.

Molecular biology and evolution Apr 1, 2020
Each influenza pandemic was caused at least partly by avian- and/or swine-origin influenza A viruses (IAVs). The timing of and the potential IAVs involved in the next pandemic are currently unpredictable. We aim to build machine learning (ML) models ...
Humans Machine Learning Influenza A virus Host-Pathogen Interactions Viral Proteins Adaptation, Biological
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Predicting Influenza A Tropism with End-to-End Learning of Deep Networks.

Health security Jan 1, 2019
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. Advances in DNA sequencing technology have enabled rapid meta...
Humans Neural Networks, Computer Machine Learning Phenotype Computer Simulation Animals Influenza in Birds Birds Influenza A virus Genotype Models, Biological Influenza, Human Viral Tropism
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