294 related articles for article (PubMed ID: 26357044)
1. A Parameter Estimation Method for Biological Systems modelled by ODE/DDE Models Using Spline Approximation and Differential Evolution Algorithm.
Zhan C; Situ W; Yeung LF; Tsang PW; Yang G
IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(6):1066-76. PubMed ID: 26357044
[TBL] [Abstract][Full Text] [Related]
2. Parameter estimation in systems biology models using spline approximation.
Zhan C; Yeung LF
BMC Syst Biol; 2011 Jan; 5():14. PubMed ID: 21255466
[TBL] [Abstract][Full Text] [Related]
3. Parameter identification, experimental design and model falsification for biological network models using semidefinite programming.
Hasenauer J; Waldherr S; Wagner K; Allgöwer F
IET Syst Biol; 2010 Mar; 4(2):119-30. PubMed ID: 20232992
[TBL] [Abstract][Full Text] [Related]
4. Efficient classification of complete parameter regions based on semidefinite programming.
Kuepfer L; Sauer U; Parrilo PA
BMC Bioinformatics; 2007 Jan; 8():12. PubMed ID: 17224043
[TBL] [Abstract][Full Text] [Related]
5. Inference of biological S-system using the separable estimation method and the genetic algorithm.
Liu LZ; Wu FX; Zhang WJ
IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(4):955-65. PubMed ID: 21968962
[TBL] [Abstract][Full Text] [Related]
6. SBML-PET: a Systems Biology Markup Language-based parameter estimation tool.
Zi Z; Klipp E
Bioinformatics; 2006 Nov; 22(21):2704-5. PubMed ID: 16926221
[TBL] [Abstract][Full Text] [Related]
7. Parameter synthesis in nonlinear dynamical systems: application to systems biology.
Donzé A; Clermont G; Langmead CJ
J Comput Biol; 2010 Mar; 17(3):325-36. PubMed ID: 20377448
[TBL] [Abstract][Full Text] [Related]
8. Evolutionary optimization with data collocation for reverse engineering of biological networks.
Tsai KY; Wang FS
Bioinformatics; 2005 Apr; 21(7):1180-8. PubMed ID: 15513993
[TBL] [Abstract][Full Text] [Related]
9. Sensitivity analysis of dynamic biological systems with time-delays.
Wu WH; Wang FS; Chang MS
BMC Bioinformatics; 2010 Oct; 11 Suppl 7(Suppl 7):S12. PubMed ID: 21106119
[TBL] [Abstract][Full Text] [Related]
10. Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis.
Tashkova K; Korošec P; Silc J; Todorovski L; Džeroski S
BMC Syst Biol; 2011 Oct; 5():159. PubMed ID: 21989196
[TBL] [Abstract][Full Text] [Related]
11. Efficient algorithms for ordinary differential equation model identification of biological systems.
Gennemark P; Wedelin D
IET Syst Biol; 2007 Mar; 1(2):120-9. PubMed ID: 17441553
[TBL] [Abstract][Full Text] [Related]
12. Inverse problem studies of biochemical systems with structure identification of S-systems by embedding training functions in a genetic algorithm.
Sarode KD; Kumar VR; Kulkarni BD
Math Biosci; 2016 May; 275():93-106. PubMed ID: 26968929
[TBL] [Abstract][Full Text] [Related]
13. Differential simulated annealing: a robust and efficient global optimization algorithm for parameter estimation of biological networks.
Dai Z; Lai L
Mol Biosyst; 2014 Jun; 10(6):1385-92. PubMed ID: 24714701
[TBL] [Abstract][Full Text] [Related]
14. Experiment design through dynamical characterisation of non-linear systems biology models utilising sparse grids.
Donahue MM; Buzzard GT; Rundell AE
IET Syst Biol; 2010 Jul; 4(4):249-62. PubMed ID: 20632775
[TBL] [Abstract][Full Text] [Related]
15. Global identifiability of nonlinear models of biological systems.
Audoly S; Bellu G; D'Angiò L; Saccomani MP; Cobelli C
IEEE Trans Biomed Eng; 2001 Jan; 48(1):55-65. PubMed ID: 11235592
[TBL] [Abstract][Full Text] [Related]
16. Challenges in lin-log modelling of glycolysis in Lactococcus lactis.
del Rosario RC; Mendoza E; Voit EO
IET Syst Biol; 2008 May; 2(3):136-49. PubMed ID: 18537454
[TBL] [Abstract][Full Text] [Related]
17. Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks.
Lakrisenko P; Stapor P; Grein S; Paszkowski Ł; Pathirana D; Fröhlich F; Lines GT; Weindl D; Hasenauer J
PLoS Comput Biol; 2023 Jan; 19(1):e1010783. PubMed ID: 36595539
[TBL] [Abstract][Full Text] [Related]
18. Scalable nonlinear programming framework for parameter estimation in dynamic biological system models.
Shin S; Venturelli OS; Zavala VM
PLoS Comput Biol; 2019 Mar; 15(3):e1006828. PubMed ID: 30908479
[TBL] [Abstract][Full Text] [Related]
19. Computational procedures for optimal experimental design in biological systems.
Balsa-Canto E; Alonso AA; Banga JR
IET Syst Biol; 2008 Jul; 2(4):163-72. PubMed ID: 18681746
[TBL] [Abstract][Full Text] [Related]
20. Optimal sampling time selection for parameter estimation in dynamic pathway modeling.
Kutalik Z; Cho KH; Wolkenhauer O
Biosystems; 2004 Jul; 75(1-3):43-55. PubMed ID: 15245803
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
