Author

Torbjoern Goebel Bak Regueira

Technical University of DenmarkORCID 0000-0003-0651-7468Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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

Frequent Co-Authors

Carolina BarraiD· 1 shared Ole LundiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Carolina BarraORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 18, 2026

Resolving Genome-to-Phenotype Links in Bacteria: Machine-Learned Inference from Downsampled k-mer Representations

Torbjoern Goebel Bak Regueira, Carolina Barra, Ole Lund

This paper introduces a downsampling method for bacterial genomes using k-mer representations, showing that ensemble models outperform deep learning on phenotype prediction tasks.

DOI 10.64898/2026.02.18.705352

bacteria (other)whole-genome sequencing

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