Author

Drew Jordahl

University of Wisconsin–MadisonORCID 0000-0002-0075-318XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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 Joshua J. CooniD· 1 shared Katarina Aranguiz· 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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperMicrobiology

Antonis RokasORCID

Mutual co-authors in cluster

Author profile →

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