Author

Michael Kampffmeyer

UiT The Arctic University of NorwayORCID 0000-0002-7699-0405Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:E. coli· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Anna Kaarina PöntineniD· 1 shared Corander JukkaiD· 1 shared Einar HolsbøiD· 1 shared Kristin HegstadiD· 1 shared Ørjan SamuelseniD· 1 shared Rebecca A. GladstoneiD· 1 shared Theodor A. RossiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Anna Kaarina PöntinenORCID

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1 paper

Recent·Most cited

Machine learning based lineage prediction from AMR phenotypes for Escherichia coli ST131 clade C surveillance across infection types

Theodor A. Ross, Anna Kaarina Pöntinen, Einar Holsbø, Ørjan Samuelsen, Kristin Hegstad, Michael Kampffmeyer, Corander Jukka, Rebecca A. Gladstone

This paper uses machine learning to predict the prevalence of ST131-C in UTIs and BSIs using antimicrobial susceptibility data, finding a link between UTI prevalence and BSI burden.

Microbial Genomics · Jan 19, 2026Peer-reviewedBioinformatics