Probabilistic approximations of ODEs based bio-pathway dynamics
DOI10.1016/j.tcs.2011.01.021zbMath1211.92022OpenAlexW2096842188MaRDI QIDQ533363
David Hsu, P. S. Thiagarajan, Bing Liu
Publication date: 3 May 2011
Published in: Theoretical Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.tcs.2011.01.021
Probabilistic models, generic numerical methods in probability and statistics (65C20) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Biochemistry, molecular biology (92C40) Qualitative theory for ordinary differential equations (34C99) Systems biology, networks (92C42)
Uses Software
Cites Work
- Relating continuous and discrete PEPA models of signalling pathways
- Modeling the segmentation clock as a network of coupled oscillations in the notch, Wnt and FGF signaling pathways
- Ordinary differential equations. An introduction to nonlinear analysis. Transl. from the German by Gerhard Metzen
- Probabilistic model checking of complex biological pathways
- `` Direct Search Solution of Numerical and Statistical Problems
- Markov Chains
- Some Investigations Concerning the CTMC and the ODE Model Derived From Bio-PEPA
- A method for the solution of certain non-linear problems in least squares
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