A Differentiable dFBA Simulator for Scalable Bayesian Inference over Microbial Metabolic Models
Thomas Diederen, Charlotte Merzbacher, Martin Patz
This paper introduces a differentiable dFBA simulator for Bayesian inference over microbial metabolic models using OD600 measurements, enabling scalable analysis of fermentation data.
bioRxiv · May 8, 2026 · PreprintBioinformatics