Efficient Data Collection for Establishing Practical Identifiability via Active Learning
Xiaolu Liu, Linda Wanika, Michael John Chappell, Juergen Branke
This paper introduces E-ALPIPE, an active learning algorithm that reduces the number of experiments needed to achieve practical identifiability in models, improving efficiency and accuracy.
Computational and Structural Biotechnology Journal · Jan 1, 2025Peer-reviewedSystems Biology