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Items: 1 to 20 of 417

1.

Bayesian parameter estimation for nonlinear modelling of biological pathways.

Ghasemi O, Lindsey ML, Yang T, Nguyen N, Huang Y, Jin YF.

BMC Syst Biol. 2011;5 Suppl 3:S9. doi: 10.1186/1752-0509-5-S3-S9. Epub 2011 Dec 23.

3.

Modeling of nonlinear biological phenomena modeled by S-systems.

Mansouri MM, Nounou HN, Nounou MN, Datta AA.

Math Biosci. 2014 Mar;249:75-91. doi: 10.1016/j.mbs.2014.01.011. Epub 2014 Feb 11.

PMID:
24524881
4.

Complexity analysis and parameter estimation of dynamic metabolic systems.

Tian LP, Shi ZK, Wu FX.

Comput Math Methods Med. 2013;2013:698341. doi: 10.1155/2013/698341. Epub 2013 Oct 23.

5.

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 11;5:159. doi: 10.1186/1752-0509-5-159.

6.

High-dimensional Bayesian parameter estimation: case study for a model of JAK2/STAT5 signaling.

Hug S, Raue A, Hasenauer J, Bachmann J, Klingmüller U, Timmer J, Theis FJ.

Math Biosci. 2013 Dec;246(2):293-304. doi: 10.1016/j.mbs.2013.04.002. Epub 2013 Apr 16.

PMID:
23602931
7.

Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systems.

Kramer A, Calderhead B, Radde N.

BMC Bioinformatics. 2014 Jul 28;15:253. doi: 10.1186/1471-2105-15-253.

8.

BioBayes: a software package for Bayesian inference in systems biology.

Vyshemirsky V, Girolami M.

Bioinformatics. 2008 Sep 1;24(17):1933-4. doi: 10.1093/bioinformatics/btn338. Epub 2008 Jul 16.

PMID:
18632751
9.

Novel recurrent neural network for modelling biological networks: oscillatory p53 interaction dynamics.

Ling H, Samarasinghe S, Kulasiri D.

Biosystems. 2013 Dec;114(3):191-205. doi: 10.1016/j.biosystems.2013.08.004. Epub 2013 Sep 5.

PMID:
24012741
10.

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.

PMID:
15245803
11.

Stochastic differential equations as a tool to regularize the parameter estimation problem for continuous time dynamical systems given discrete time measurements.

Leander J, Lundh T, Jirstrand M.

Math Biosci. 2014 May;251:54-62. doi: 10.1016/j.mbs.2014.03.001. Epub 2014 Mar 12.

12.

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 Jul-Aug;9(4):955-65. doi: 10.1109/TCBB.2011.126.

PMID:
21968962
13.

Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems.

Ballnus B, Hug S, Hatz K, Görlitz L, Hasenauer J, Theis FJ.

BMC Syst Biol. 2017 Jun 24;11(1):63. doi: 10.1186/s12918-017-0433-1.

14.

Proper lumping in systems biology models.

Dokoumetzidis A, Aarons L.

IET Syst Biol. 2009 Jan;3(1):40-51. doi: 10.1049/iet-syb:20070055.

PMID:
19154083
15.

Bifurcation analysis informs Bayesian inference in the Hes1 feedback loop.

Higham CF.

BMC Syst Biol. 2009 Jan 26;3:12. doi: 10.1186/1752-0509-3-12.

16.

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 Nov-Dec;11(6):1066-76. doi: 10.1109/TCBB.2014.2322360.

PMID:
26357044
17.

Parameter Estimation of Partial Differential Equation Models.

Xun X, Cao J, Mallick B, Carroll RJ, Maity A.

J Am Stat Assoc. 2013;108(503). doi: 10.1080/01621459.2013.794730.

18.

Markov chain Monte Carlo approach to parameter estimation in the FitzHugh-Nagumo model.

Jensen AC, Ditlevsen S, Kessler M, Papaspiliopoulos O.

Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Oct;86(4 Pt 1):041114. Epub 2012 Oct 10.

PMID:
23214536
19.

Parameter optimization by using differential elimination: a general approach for introducing constraints into objective functions.

Nakatsui M, Horimoto K, Okamoto M, Tokumoto Y, Miyake J.

BMC Syst Biol. 2010 Sep 13;4 Suppl 2:S9. doi: 10.1186/1752-0509-4-S2-S9.

20.

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