Author

Eponine Oler

University of Alberta

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:drug response / drug discovery· 3 Organism:human· 3 Assay:metabolomics· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

David Scott WishartiD· 3 shared Russell GreineriD· 2 shared Siyang TianiD· 2 shared Aaron M. ShapiroiD· 1 shared Adamo YoungiD· 1 shared Andrew L MasoniD· 1 shared Asael RoichmaniD· 1 shared Bo WangiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 32 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

3 shared papersBioinformatics

David Scott WishartORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

TransXplorer: An automated translational discovery platform for RNA-seq data

Varinder Madhav Verma, Eponine Oler, Hussain Syed, Scott Han, Mark V. Berjanskii, Andrew L Mason, David Scott Wishart, Gane Ka‐Shu Wong

TransXplorer provides a unified web platform for RNA-seq analysis, integrating data processing, batch correction, functional enrichment, and drug candidate linking across multiple datasets.

bioRxiv · May 19, 2026 · PreprintBioinformatics

BioTransformer4.0 a comprehensive computational tool for small molecule metabolism prediction

Siyang Tian, Yannick Djoumbou-Feunang, Eponine Oler, Fei Wang, Russell Greiner, Emma Helena Palm, Emma Schymanski, Claudine Manach, David Scott Wishart

BioTransformer4.0 predicts small molecule metabolites using integrated knowledge-based and machine learning approaches, achieving high recall on benchmark datasets.

bioRxiv · Jul 28, 2025 · PreprintBioinformatics

Language model-guided anticipation and discovery of unknown metabolites

Hantao Qiang, Fei Wang, Wenyun Lu, Xi Xing, Hahn Kim, Sandrine A. M. Mérette, Lucas B. Ayres, Eponine Oler, Jenna E. AbuSalim, Asael Roichman, Michael D. Neinast, Ricardo A. Cordova, Won Dong Lee, Ehud Herbst, Vishu Gupta, , Michael A. Skinnider

This paper introduces DeepMet, a chemical language model that predicts and discovers unknown metabolites using mass spectrometry data.

bioRxiv · Nov 13, 2024 · PreprintBioinformatics