Fast and automatic structural identifiability software for ODE systems
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Updated
Aug 5, 2026 - Julia
Fast and automatic structural identifiability software for ODE systems
An O(T) pre-training geometric diagnostic system that detects latent regime unidentifiability via singular value subspace collapse in Switching State-Space Models (S-SSMs) before model training begins.
Python framework for structural and practical identifiability analysis of a 13-parameter Multi-Cell Line CHO kinetic model using SVD-ROSM, Monte Carlo simulations, and t-value based parameter fixing.
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