2 papers
stat.ME2026
Quantifying structural uncertainty in chemical reaction network inference
Yong See Foo, Adriana Zanca, Jennifer A. Flegg +1
Dynamical systems in biology are complex, and one often does not have comprehensive knowledge about the interactions involved. Chemical reaction network (CRN) inference aims to ide…
q-bio.BM2025
Modelling ion channels with a view towards identifiability
Ivo Siekmann
Aggregated Markov models provide a flexible framework for stochastic dynamics that develops on multiple timescales. For example, Markov models for ion channels often consist of mul…