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Items: 1 to 20 of 110

1.

Profile likelihood in systems biology.

Kreutz C, Raue A, Kaschek D, Timmer J.

FEBS J. 2013 Jun;280(11):2564-71. doi: 10.1111/febs.12276. Epub 2013 May 9. Review.

2.

Likelihood based observability analysis and confidence intervals for predictions of dynamic models.

Kreutz C, Raue A, Timmer J.

BMC Syst Biol. 2012 Sep 5;6:120. doi: 10.1186/1752-0509-6-120.

3.

Mathematical formalisms based on approximated kinetic representations for modeling genetic and metabolic pathways.

Alves R, Vilaprinyo E, Hernádez-Bermejo B, Sorribas A.

Biotechnol Genet Eng Rev. 2008;25:1-40. Review.

PMID:
21412348
4.

A system biology approach to understand functional activity of cell communication systems.

Vera J, Wolkenhauer O.

Methods Cell Biol. 2008;90:399-415. doi: 10.1016/S0091-679X(08)00817-0.

PMID:
19195559
5.

Experimental design for parameter estimation of gene regulatory networks.

Steiert B, Raue A, Timmer J, Kreutz C.

PLoS One. 2012;7(7):e40052. doi: 10.1371/journal.pone.0040052. Epub 2012 Jul 16.

6.

Identifiability and observability analysis for experimental design in nonlinear dynamical models.

Raue A, Becker V, Klingmüller U, Timmer J.

Chaos. 2010 Dec;20(4):045105. doi: 10.1063/1.3528102.

PMID:
21198117
7.

Predictive mathematical models of cancer signalling pathways.

Bachmann J, Raue A, Schilling M, Becker V, Timmer J, Klingmüller U.

J Intern Med. 2012 Feb;271(2):155-65. doi: 10.1111/j.1365-2796.2011.02492.x. Review.

8.

A data integration approach for cell cycle analysis oriented to model simulation in systems biology.

Alfieri R, Merelli I, Mosca E, Milanesi L.

BMC Syst Biol. 2007 Aug 1;1:35.

9.

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
10.

An integrated strategy for prediction uncertainty analysis.

Vanlier J, Tiemann CA, Hilbers PA, van Riel NA.

Bioinformatics. 2012 Apr 15;28(8):1130-5. doi: 10.1093/bioinformatics/bts088. Epub 2012 Feb 21.

11.

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. doi: 10.1049/iet-syb.2009.0031.

PMID:
20632775
12.

A tunable multivariable nonlinear robust observer for biological systems.

Alcaraz-González V, Salazar-Peña R, González-Alvarez V, Gouzé JL, Steyer JP.

C R Biol. 2005 Apr;328(4):317-25.

PMID:
15861819
13.

SysBioMed report: advancing systems biology for medical applications.

Wolkenhauer O, Fell D, De Meyts P, Blüthgen N, Herzel H, Le Novère N, Höfer T, Schürrle K, van Leeuwen I.

IET Syst Biol. 2009 May;3(3):131-6. doi: 10.1049/iet-syb.2009.0005.

PMID:
19449974
14.

Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood.

Raue A, Kreutz C, Maiwald T, Bachmann J, Schilling M, Klingmüller U, Timmer J.

Bioinformatics. 2009 Aug 1;25(15):1923-9. doi: 10.1093/bioinformatics/btp358. Epub 2009 Jun 8.

PMID:
19505944
15.

Assessing physiological complexity.

Burggren WW, Monticino MG.

J Exp Biol. 2005 Sep;208(Pt 17):3221-32. Review.

16.

For principled model fitting in mathematical biology.

House T.

J Math Biol. 2015 Apr;70(5):1007-13. doi: 10.1007/s00285-014-0787-6. Epub 2014 May 4.

PMID:
24792216
17.

Modeling of cellular processes: methods, data, and requirements.

Millat T, Wolkenhauer O, Fischer RJ, Bahl H.

Methods Mol Biol. 2011;696:429-47. doi: 10.1007/978-1-60761-987-1_27.

PMID:
21063964
18.

Rational selection of experimental readout and intervention sites for reducing uncertainties in computational model predictions.

Flassig RJ, Migal I, der Zalm Ev, Rihko-Struckmann L, Sundmacher K.

BMC Bioinformatics. 2015 Jan 16;16:13. doi: 10.1186/s12859-014-0436-5.

19.

Conclusions via unique predictions obtained despite unidentifiability--new definitions and a general method.

Cedersund G.

FEBS J. 2012 Sep;279(18):3513-27. doi: 10.1111/j.1742-4658.2012.08725.x. Epub 2012 Aug 28.

20.

Systems biology: parameter estimation for biochemical models.

Ashyraliyev M, Fomekong-Nanfack Y, Kaandorp JA, Blom JG.

FEBS J. 2009 Feb;276(4):886-902. doi: 10.1111/j.1742-4658.2008.06844.x. Review.

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