On structural identifiability analysis of the cascaded linear dynamic systems in isotopically non-stationary 13C labelling experiments

DOI10.1016/j.mbs.2018.03.009zbMath1392.92028OpenAlexW2793061949WikidataQ88019310 ScholiaQ88019310MaRDI QIDQ1644669

Weilu Lin, Siliang Zhang, Yingping Zhuang, Zejian Wang, Mingzhi Huang

Publication date: 22 June 2018

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2018.03.009

zbMATH Keywords

structural identifiabilityTaylor series expansionisotopically non-stationary 13C labelling experimentsnon-stationary cumomer balance equations

Mathematics Subject Classification ID

Series expansions (e.g., Taylor, Lidstone series, but not Fourier series) (41A58) Systems biology, networks (92C42)

Uses Software

• advanpix
• 13cflux2

Cites Work

• Unnamed Item
• Unnamed Item
• System identifiability based on the power series expansion of the solution
• Metabolic isotopomer labeling systems. II: Structural flux identifiability analysis.
• On the identifiability and distinguishability of nonlinear parametric models
• Computational Experience with Confidence Regions and Confidence Intervals for Nonlinear Least Squares
• Metabolic isotopomer labeling systems. I: Global dynamic behavior

This page was built for publication: On structural identifiability analysis of the cascaded linear dynamic systems in isotopically non-stationary 13C labelling experiments