Identifying a static nonlinear structure in a biological system using noisy, sparse data

DOI10.1016/j.jtbi.2012.01.037zbMath1397.92260OpenAlexW1990499778WikidataQ34152113 ScholiaQ34152113MaRDI QIDQ1784227

Joshua R. Porter, Peter J. Espenshade, John S. Burg, Pablo A. Iglesias

Publication date: 26 September 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3307847

zbMATH Keywords

system identificationmodelingstructure identificationsignaling cascade

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12) Systems biology, networks (92C42)

Uses Software

• Matlab
• pchip

Cites Work

• Unnamed Item
• The identification of nonlinear biological systems: LNL cascade models
• The identification of nonlinear biological systems: Wiener and Hammerstein Cascade models
• Nonlinear black-box modeling in system identification: A unified overview
• Monotone Piecewise Cubic Interpolation
• A Note on the Ratio of Two Normally Distributed Variables