Analytical Choices Drive Toxicogenomic Potency Estimates: A Systematic Evaluation of Transcriptomic Points of Departure
Imke B. Bruns, Dayna R. Schultz, Emmanuel Demuynck, Friedel Dewulf, Ioannis Theologidis, Steven J. Kunnen, Lukas S. Wijaya, Ilias Frydas, Nafsika Papaioannou, Elisavet Renieri, Thanasis Papageorgiou, Dimosthenis Andreas Sarigiannis, Kyriaki A. Machera, Birgit Mertens, Jana Asselman, , Giulia Callegaro
The paper evaluates how different transcriptomic analysis workflows affect potency estimates in toxicogenomics, finding significant variability driven by normalization, filtering, and pathway definitions.
Toxicological Sciences · Sep 1, 2026Peer-reviewedBioinformatics