Inference of signaling and gene regulatory networks by steady-state perturbation experiments: structure and accuracy

DOI10.1016/j.jtbi.2004.08.022zbMath1442.92054OpenAlexW2001431571WikidataQ51983246 ScholiaQ51983246MaRDI QIDQ776529

Boris N. Kholodenko, Ronald M. Levy, Michael Andrec

Publication date: 9 July 2020

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2004.08.022

zbMATH Keywords

modulereverse engineeringsystems biologyunravellingblack box

Mathematics Subject Classification ID

Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Cell biology (92C37) Systems biology, networks (92C42)

Related Items (6)

Randomized approximation algorithms for set multicover problems with applications to reverse engineering of protein and gene networks ⋮ Inferring gene regulatory networks from temporal expression profiles under time-delay and noise ⋮ Approximating the online set multicover problems via randomized winnowing ⋮ Direct response analysis in cellular signalling networks ⋮ Molecular systems biology and control ⋮ A mathematical program to refine gene regulatory networks

Uses Software

• LINPACK

Cites Work

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• An Analysis of the Total Least Squares Problem
• Structured total least squares and \(L_ 2\) approximation problems
• Statistical Analysis of Spherical Data
• THE DISTRIBUTION OF THE INDEX IN A NORMAL BIVARIATE POPULATION
• Ratios of Normal Variables and Ratios of Sums of Uniform Variables

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