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Items: 1 to 20 of 74

1.

Modeling of 2D diffusion processes based on microscopy data: parameter estimation and practical identifiability analysis.

Hock S, Hasenauer J, Theis FJ.

BMC Bioinformatics. 2013;14 Suppl 10:S7. doi: 10.1186/1471-2105-14-S10-S7. Epub 2013 Aug 12.

2.

Interstitial dendritic cell guidance by haptotactic chemokine gradients.

Weber M, Hauschild R, Schwarz J, Moussion C, de Vries I, Legler DF, Luther SA, Bollenbach T, Sixt M.

Science. 2013 Jan 18;339(6117):328-32. doi: 10.1126/science.1228456.

3.

Dendritic cell chemotaxis in 3D under defined chemokine gradients reveals differential response to ligands CCL21 and CCL19.

Haessler U, Pisano M, Wu M, Swartz MA.

Proc Natl Acad Sci U S A. 2011 Apr 5;108(14):5614-9. doi: 10.1073/pnas.1014920108. Epub 2011 Mar 21.

4.
5.

A simple work flow for biologically inspired model reduction--application to early JAK-STAT signaling.

Quaiser T, Dittrich A, Schaper F, Mönnigmann M.

BMC Syst Biol. 2011 Feb 21;5:30. doi: 10.1186/1752-0509-5-30.

6.

Polysialylated neuropilin-2 enhances human dendritic cell migration through the basic C-terminal region of CCL21.

Rey-Gallardo A, Escribano C, Delgado-Martín C, Rodriguez-Fernández JL, Gerardy-Schahn R, Rutishauser U, Corbi AL, Vega MA.

Glycobiology. 2010 Sep;20(9):1139-46. doi: 10.1093/glycob/cwq078. Epub 2010 May 20.

PMID:
20488940
7.

Stochastic models for cell motion and taxis.

Ionides EL, Fang KS, Isseroff RR, Oster GF.

J Math Biol. 2004 Jan;48(1):23-37. Epub 2003 Aug 6.

8.

DC mobilization from the skin requires docking to immobilized CCL21 on lymphatic endothelium and intralymphatic crawling.

Tal O, Lim HY, Gurevich I, Milo I, Shipony Z, Ng LG, Angeli V, Shakhar G.

J Exp Med. 2011 Sep 26;208(10):2141-53. doi: 10.1084/jem.20102392. Epub 2011 Sep 19.

9.

Maximum profile likelihood estimation of differential equation parameters through model based smoothing state estimates.

Campbell DA, Chkrebtii O.

Math Biosci. 2013 Dec;246(2):283-92. doi: 10.1016/j.mbs.2013.03.011. Epub 2013 Apr 8.

PMID:
23579098
10.

Fast maximum-likelihood image-restoration algorithms for three-dimensional fluorescence microscopy.

Markham J, Conchello JA.

J Opt Soc Am A Opt Image Sci Vis. 2001 May;18(5):1062-71.

PMID:
11336209
11.

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.

12.

Identifiability of diffusion and sorption parameters from in situ diffusion experiments by using simultaneously tracer dilution and claystone data.

Naves A, Samper J, Gimmi T.

J Contam Hydrol. 2012 Nov;142-143:63-74. doi: 10.1016/j.jconhyd.2012.09.005. Epub 2012 Sep 20.

PMID:
23142728
13.

Statistical estimation of parameters in a disease transmission model: analysis of a Cryptosporidium outbreak.

Brookhart MA, Hubbard AE, van der Laan MJ, Colford JM Jr, Eisenberg JN.

Stat Med. 2002 Dec 15;21(23):3627-38.

PMID:
12436460
14.

Uncertainty in diffusion tensor based fibre tracking.

Hahn HK, Klein J, Nimsky C, Rexilius J, Peitgen HO.

Acta Neurochir Suppl. 2006;98:33-41.

PMID:
17009699
15.

A maximum likelihood approach to density estimation with semidefinite programming.

Fushiki T, Horiuchi S, Tsuchiya T.

Neural Comput. 2006 Nov;18(11):2777-812.

PMID:
16999579
16.

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.

17.

A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome.

Gruber S, van der Laan MJ.

Int J Biostat. 2010;6(1):Article 26. doi: 10.2202/1557-4679.1260. Epub 2010 Aug 1.

18.

Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster.

Dewar MA, Kadirkamanathan V, Opper M, Sanguinetti G.

BMC Syst Biol. 2010 Mar 10;4:21. doi: 10.1186/1752-0509-4-21.

19.

Parameter identifiability and estimation of HIV/AIDS dynamic models.

Wu H, Zhu H, Miao H, Perelson AS.

Bull Math Biol. 2008 Apr;70(3):785-99. doi: 10.1007/s11538-007-9279-9. Epub 2008 Feb 5.

PMID:
18247096
20.

Cellular signaling identifiability analysis: a case study.

Roper RT, Pia Saccomani M, Vicini P.

J Theor Biol. 2010 May 21;264(2):528-37. doi: 10.1016/j.jtbi.2010.02.029. Epub 2010 Feb 24.

PMID:
20188743

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