An algorithmic approach to analyse genetic networks and biological energy production: an introduction and contribution where OR meets biology†

DOI10.1080/02331930701761169zbMath1158.92312OpenAlexW2021377420MaRDI QIDQ3622003

Stefan Pickl, R. Wünschiers, Ömür Uğur, Gerhard-Wilhelm Weber

Publication date: 23 April 2009

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331930701761169

zbMATH Keywords

optimizationstabilitydynamical systemsenvironmentmathematical modellingcomputational biologydiscretegene-expression datacontinuous

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Dynamical systems in biology (37N25) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10)

Related Items (9)

Long-tailed graphical model and frequentist inference of the model parameters for biological networks ⋮ Dynamical Gene-Environment Networks Under Ellipsoidal Uncertainty: Set-Theoretic Regression Analysis Based on Ellipsoidal OR ⋮ Global optimality conditions and optimization methods for quadratic integer programming problems ⋮ Modern tools for the time-discrete dynamics and optimization of gene-environment networks ⋮ Coarse-grained optimization-driven design and piecewise linear modeling of synthetic genetic circuits ⋮ Spline regression models for complex multi-modal regulatory networks ⋮ Modeling, inference and optimization of regulatory networks based on time series data ⋮ Loop-based conic multivariate adaptive regression splines is a novel method for advanced construction of complex biological networks ⋮ Inference of the stochastic MAPK pathway by modified diffusion bridge method

Uses Software

• ElemStatLearn

Cites Work

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