Author

Yang‐Hui He

City, University of LondonORCID 0000-0002-0787-8380Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Djordje MinićiD· 1 shared John-Antonio ArgyriadisiD· 1 shared Pierre-Philippe DechantiD· 1 shared Vishnu JejjalaiD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 3 mutual co-author links

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1 shared paperGenomics

Djordje MinićORCID

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2 papers

Recent·Most cited

Dynamics of genetic code evolution: The emergence of universality

John-Antonio Argyriadis, Yang‐Hui He, Vishnu Jejjala, Djordje Minić

The paper analyzes the dynamics of genetic code evolution using an algorithm to show how varying parameters over time leads to faster convergence to a universal solution and links universality to mutation rate.

Physical review. E · May 17, 2021Peer-reviewedGenomics

Machine-learning a virus assembly fitness landscape

Pierre-Philippe Dechant, Yang‐Hui He

The paper uses machine learning to predict virus assembly fitness landscapes with high accuracy, reducing computational time significantly.

PLoS ONE · May 5, 2021Peer-reviewedBioinformatics