Author

Katarina Aranguiz

University of Wisconsin–Madison

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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Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:yeast· 1

Frequent Co-Authors

Antonis RokasiD· 1 shared Chris Todd HittingeriD· 1 shared Drew JordahliD· 1 shared Joshua J. CooniD· 1 shared Katherine A. OvermyeriD· 1 shared Kenia Segura AbáiD· 1 shared Linda C. HorianopoulosiD· 1 shared Logan ElkiniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

Antonis RokasORCID

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1 paper

Recent·Most cited

Machine learning uncovers gene families impacting oxidative stress resistance across yeasts

Katarina Aranguiz, Linda C. Horianopoulos, Logan Elkin, Kenia Segura Abá, Drew Jordahl, Katherine A. Overmyer, Russell L. Wrobel, Joshua J. Coon, Shin‐Han Shiu, Antonis Rokas, Chris Todd Hittinger

This study uses machine learning to identify gene families associated with oxidative stress resistance in yeasts and validates their roles experimentally.

Nature Communications · Jul 1, 2025Peer-reviewedMicrobiology