DoseRider Published – Model Pathway-Level Dose-Response

We are pleased to present DoseRider, a novel tool developed by our PhD student Pablo Monfort-Lanzas for modeling non-linear dose-response relationships at the pathway level.

DoseRider applies generalized mixed models and spline fitting to analyze how predefined gene sets respond across dose gradients. This enables the characterization of mechanisms of action and detection of complex response patterns, including non-monotonic effects.

Developed for toxicogenomics applications, DoseRider also supports different omics data types—including transcriptomics, proteomics, and metabolomics—and introduces Trend Change Doses (TCDs) as a novel complement to benchmark doses (BMDs).

🔗 Explore DoseRider: https://doserider.i-med.ac.at
📄 Read the publication: https://doi.org/10.1016/j.csbj.2025.04.004