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Reconstruction of Switching Thresholds in Piecewise-Affine Models of Genetic Regulatory Networks
- Source :
- Hybrid Systems: Computation and Control ISBN: 9783540331704, HSCC, Hybrid Systems: Computation and Control, HSCC 2006, Hybrid Systems: Computation and Control, HSCC 2006, Mar 2006, Santa Barbara, CA, USA, pp.184-199, ⟨10.1007/11730637⟩
- Publication Year :
- 2006
- Publisher :
- Springer Berlin Heidelberg, 2006.
-
Abstract
- http://dx.doi.org/10.1007/11730637_16; Recent advances of experimental techniques in biology have led to the production of enormous amounts of data on the dynamics of genetic regulatory networks. In this paper, we present an approach for the identification of PieceWise-Affine (PWA) models of genetic regulatory networks from experimental data, focusing on the reconstruction of switching thresholds associated with regulatory interactions. In particular, our method takes into account geometric constraints specific to models of genetic regulatory networks. We show the feasibility of our approach by the reconstruction of switching thresholds in a PWA model of the carbon starvation response in the bacterium Escherichia coli.
- Subjects :
- [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]
0209 industrial biotechnology
Mathematical optimization
Computer science
Genetic regulatory network
Carbon starvation
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.1: Simulation Theory/I.6.1.1: Systems theory
ACM: C.: Computer Systems Organization/C.1: PROCESSOR ARCHITECTURES/C.1.3: Other Architecture Styles/C.1.3.5: Heterogeneous (hybrid) systems
02 engineering and technology
03 medical and health sciences
020901 industrial engineering & automation
Control theory
Gene expression
Piecewise affine
Hybrid automaton
ACM: C.: Computer Systems Organization
system identification
030304 developmental biology
Regulator gene
0303 health sciences
Artificial neural network
biology
switching thresholds reconstruction
System identification
biology.organism_classification
Hybrid system
Identification (information)
Discrete time and continuous time
Bacteria
Subjects
Details
- ISBN :
- 978-3-540-33170-4
- ISBNs :
- 9783540331704
- Database :
- OpenAIRE
- Journal :
- Hybrid Systems: Computation and Control ISBN: 9783540331704, HSCC, Hybrid Systems: Computation and Control, HSCC 2006, Hybrid Systems: Computation and Control, HSCC 2006, Mar 2006, Santa Barbara, CA, USA, pp.184-199, ⟨10.1007/11730637⟩
- Accession number :
- edsair.doi.dedup.....9e9e5e3998c5764de6bf8b1e65dece8d