Author

Nicolas Arning

University of OxfordORCID 0000-0002-9105-9571Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:bacteria (other)· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Daniel J. WilsoniD· 1 shared David A. CliftoniD· 1 shared Samuel Keir SheppardiD· 1 shared Sion BaylissiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Daniel J. WilsonORCID

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1 paper

Recent·Most cited

Machine learning to predict the source of campylobacteriosis using whole genome data

Nicolas Arning, Samuel Keir Sheppard, Sion Bayliss, David A. Clifton, Daniel J. Wilson

This paper uses machine learning on whole genome data to improve source attribution of Campylobacter jejuni infections, achieving higher accuracy than traditional methods.

PLoS Genetics · Oct 18, 2021Peer-reviewedBioinformatics