Author

Tabitha Hubbard

University of OxfordORCID 0009-0008-0689-710XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metabolomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alejandra Vergara-LopeiD· 1 shared Carles FoguetiD· 1 shared Danyao JiniD· 1 shared Diego J. Aguilar-RamireziD· 1 shared Eirini TrichiaiD· 1 shared Jaime Berumen-CamposiD· 1 shared Jason TorresiD· 1 shared Jesús Alegre-DíaziD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Alejandra Vergara-LopeORCID

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1 paper

Recent·Most cited

Enhanced power and transferability for genetics-driven metabolomic biomarker discovery in admixed American cohorts

Tin Orešković, Danyao Jin, Eirini Trichia, Diego J. Aguilar-Ramirez, Yu Xu, Carles Foguet, Tabitha Hubbard, Michael Turner, Alejandra Vergara-Lope, Luisa Fernández‐Chirino, Laurent Gil, Michael Hill, Jesús Alegre-Díaz, Jaime Berumen-Campos, Sarah Lewington, , Michael Inouye

The paper improves metabolomic biomarker discovery in admixed American cohorts by training models on diverse data, achieving better predictive performance and more significant associations with cardiometabolic diseases.

medRxiv · Sep 7, 2026 · PreprintGenetic & Genomic Medicine