Author

E.-k. Yeoh

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 2

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Approach:statistical model· 2 Organism:virus· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

J. Lou· 2 shared L. Cao· 2 shared P. K. Chan· 2 shared R. W. Chan· 2 shared S. Zhao· 2 shared B. C. Zee· 1 shared B. Zee· 1 shared C. K.-P. Mok· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersEvolutionary Biology

J. Lou

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2 papers

Recent·Most cited

Predictive evolutionary modelling for influenza virus by site-based dynamics of mutations

J. Lou, W. Liang, L. Cao, S. Zhao, Z. Chen, R. W. Chan, P. P. H. Cheung, H. Zheng, C. Liu, Q. Li, M. Chong, Y. Zhang, E.-k. Yeoh, P. K. Chan, B. Zee, , M. H. Wang

A computational model predicts influenza virus evolution and aids in vaccine strain selection by modeling site-wise mutation dynamics.

bioRxiv · Aug 23, 2023Evolutionary Biology

Characterization of the evolutionary dynamics of influenza A H3N2 hemagglutinin

H. M. Wang, J. Lou, L. Cao, S. Zhao, P. K. Chan, M. C.-W. Chan, M. K. Chong, W. K. Wu, R. W. Chan, Y. Wei, H. Zhang, B. C. Zee, E.-k. Yeoh

This study introduces a statistical method to analyze mutation dynamics in influenza A H3N2, showing regional mutation contributions to global epidemics and identifying key amino acids for therapeutic targets.

bioRxiv · Jun 16, 2020 · PreprintEvolutionary Biology