Uncertainty Quantification in Dynamic Models of Biological Systems Using Conformal Prediction

Software and supplementary information for the paper:

Portela, A., J.R. Banga, M. Matabuena (2025) Conformal Prediction for Uncertainty Quantification in Dynamic Biological Systems. PLOS Computational Biology 21(5): e1013098. https://doi.org/10.1371/journal.pcbi.1013098

Previous version:

Portela, Alberto, Julio R. Banga and Marcos Matabuena (2024) Conformal Prediction in Dynamic Biological Systems. arXiv:2409.02644. https://arxiv.org/abs/2409.02644

Funding: JRB acknowledges support from grant PID2020-117271RB-C22 (BIODYNAMICS) funded by MCIN/AEI/10.13039/501100011033, from grant PID2023-146275NB-C22 (DYNAMO-bio) funded by MICIU/AEI/ 10.13039/501100011033, and from grant CSIC PIE 202470E108 (LARGO). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.