Author

Sarah E. Davidson-Fritz

University of CincinnatiORCID 0000-0002-2891-9380Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Mario MedvedoviciD· 2 shared Amar Koleti· 1 shared Annabel E. MeadeiD· 1 shared Avi Ma’ayaniD· 1 shared Behrouz ShamsaeiiD· 1 shared Caroline RingiD· 1 shared Celia M. SchachtiD· 1 shared Daniel J. B. ClarkeiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Mario MedvedovicORCID

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Author profile →

3 papers

Recent·Most cited

Enabling Transparent Toxicokinetic Modeling for Public Health Risk Assessment

Sarah E. Davidson-Fritz, Caroline Ring, Marina V. Evans, Celia M. Schacht, Xiaoqing Chang, Miyuki Breen, Gregory S. Honda, Elaina M. Kenyon, Matthew W. Linakis, Annabel E. Meade, Robert G. Pearce, Mark A. Sfeir, James Patrick Sluka, Michael J. DeVito, John F. Wambaugh

The paper introduces the httk R package for transparent toxicokinetic modeling, enabling in vitro to in vivo extrapolation and improving public health risk assessment.

PLoS ONE · Apr 16, 2025Peer-reviewedPharmacology & Toxicology

Connecting omics signatures of diseases, drugs, and mechanisms of actions with iLINCS

Marcin Pilarczyk, Mehdi Fazel‐Najafabadi, Michal Kouril, Behrouz Shamsaei, Juozas Vasiliauskas, Wen Niu, Naim Al Mahi, Lixia Zhang, Nicholas A. Clark, Yan Ren, Shana White, Rashid Saadman Karim, Huan Xu, Jacek Biesiada, Mark F. Bennett, , Mario Medvedovic

iLINCS provides a web-based platform for analyzing omics signatures of diseases and cellular perturbations through integrative analytics and visualization tools.

Nature Communications · Aug 9, 2022Peer-reviewedBioinformatics

ALOHA: Aggregated local extrema splines for high-throughput dose-response analysis

Sarah E. Davidson-Fritz, Matthew W. Wheeler, Scott S. Auerbach, Siva Sivaganesan, Mario Medvedovic

ALOHA improves dose-response analysis by using Bayesian splines to model gene responses and cluster co-regulated genes, leading to better identification of biological pathways and benchmark doses.

Computational Toxicology · Feb 1, 2022Peer-reviewedBioinformatics