Author

Daniela Herrera-Rosero

University of TübingenORCID 0000-0002-7302-3428Unclaimed 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:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1

Frequent Co-Authors

Christian GeibeliD· 1 shared Daniel PetrasiD· 1 shared Gwendolyn KileriD· 1 shared Michael J. StrobeliD· 1 shared Mingxun WangiD· 1 shared Mohammed Reza ShahnehiD· 1 shared Vanessa V. PhelaniD· 1 shared Xianghu WangiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Christian GeibelORCID

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1 paper

Recent·Most cited

Predicting Discrete Structural Transformations in Small Molecules from Tandem Mass Spectrometry

Xianghu Wang, Gwendolyn Kiler, Daniela Herrera-Rosero, Mohammed Reza Shahneh, Michael J. Strobel, Christian Geibel, Yasin El Abiead, Vanessa V. Phelan, Daniel Petras, Mingxun Wang

This paper introduces MT-GEM and STEP to predict discrete structural transformations in metabolites from MS/MS spectra, achieving significant improvements over existing methods.

bioRxiv · May 11, 2026 · PreprintBioinformatics