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Items: 23

1.

Quantification and Selection of Ictogenic Zones in Epilepsy Surgery.

Laiou P, Avramidis E, Lopes MA, Abela E, Müller M, Akman OE, Richardson MP, Rummel C, Schindler K, Goodfellow M.

Front Neurol. 2019 Oct 1;10:1045. doi: 10.3389/fneur.2019.01045. eCollection 2019.

2.

Reducing the complexity of mathematical models for the plant circadian clock by distributed delays.

Tokuda IT, Akman OE, Locke JCW.

J Theor Biol. 2019 Feb 21;463:155-166. doi: 10.1016/j.jtbi.2018.12.014. Epub 2018 Dec 12.

PMID:
30550861
3.

Optimisation of an exemplar oculomotor model using multi-objective genetic algorithms executed on a GPU-CPU combination.

Avramidis E, Akman OE.

BMC Syst Biol. 2017 Mar 24;11(1):40. doi: 10.1186/s12918-017-0416-2.

4.

Ultrasensitive Negative Feedback Control: A Natural Approach for the Design of Synthetic Controllers.

Montefusco F, Akman OE, Soyer OS, Bates DG.

PLoS One. 2016 Aug 18;11(8):e0161605. doi: 10.1371/journal.pone.0161605. eCollection 2016.

5.

Mapping epigenetic changes to the host cell genome induced by Burkholderia pseudomallei reveals pathogen-specific and pathogen-generic signatures of infection.

Cizmeci D, Dempster EL, Champion OL, Wagley S, Akman OE, Prior JL, Soyer OS, Mill J, Titball RW.

Sci Rep. 2016 Aug 3;6:30861. doi: 10.1038/srep30861.

6.

Nonlinear Dynamics in Gene Regulation Promote Robustness and Evolvability of Gene Expression Levels.

Steinacher A, Bates DG, Akman OE, Soyer OS.

PLoS One. 2016 Apr 15;11(4):e0153295. doi: 10.1371/journal.pone.0153295. eCollection 2016.

7.

Dizzy-Beats: a Bayesian evidence analysis tool for systems biology.

Aitken S, Kilpatrick AM, Akman OE.

Bioinformatics. 2015 Jun 1;31(11):1863-5. doi: 10.1093/bioinformatics/btv062. Epub 2015 Jan 30.

8.

Stochastic models of cellular circadian rhythms in plants help to understand the impact of noise on robustness and clock structure.

Guerriero ML, Akman OE, van Ooijen G.

Front Plant Sci. 2014 Oct 21;5:564. doi: 10.3389/fpls.2014.00564. eCollection 2014.

9.

Light and circadian regulation of clock components aids flexible responses to environmental signals.

Dixon LE, Hodge SK, van Ooijen G, Troein C, Akman OE, Millar AJ.

New Phytol. 2014 Jul;203(2):568-77. doi: 10.1111/nph.12853. Epub 2014 May 20.

10.

Nested sampling for parameter inference in systems biology: application to an exemplar circadian model.

Aitken S, Akman OE.

BMC Syst Biol. 2013 Jul 30;7:72. doi: 10.1186/1752-0509-7-72.

11.

SBSI: an extensible distributed software infrastructure for parameter estimation in systems biology.

Adams R, Clark A, Yamaguchi A, Hanlon N, Tsorman N, Ali S, Lebedeva G, Goltsov A, Sorokin A, Akman OE, Troein C, Millar AJ, Goryanin I, Gilmore S.

Bioinformatics. 2013 Mar 1;29(5):664-5. doi: 10.1093/bioinformatics/btt023. Epub 2013 Jan 17.

12.

The Input Signal Step Function (ISSF), a standard method to encode input signals in SBML models with software support, applied to circadian clock models.

Adams RR, Tsorman N, Stratford K, Akman OE, Gilmore S, Juty N, Le Novère N, Millar AJ, Millar AJ.

J Biol Rhythms. 2012 Aug;27(4):328-32. doi: 10.1177/0748730412451077.

13.

Components of the neural signal underlying congenital nystagmus.

Akman OE, Broomhead DS, Abadi RV, Clement RA.

Exp Brain Res. 2012 Aug;220(3-4):213-21. doi: 10.1007/s00221-012-3130-8. Epub 2012 May 29.

PMID:
22644237
14.

Digital clocks: simple Boolean models can quantitatively describe circadian systems.

Akman OE, Watterson S, Parton A, Binns N, Millar AJ, Ghazal P.

J R Soc Interface. 2012 Sep 7;9(74):2365-82. doi: 10.1098/rsif.2012.0080. Epub 2012 Apr 12. Erratum in: J R Soc Interface. 2012 Dec 7;9(77):3578.

15.

Analysis of signal propagation in an elastic-tube flow model.

Akman OE, Biringen S, Waggy SB.

Med Eng Phys. 2011 Jun;33(5):660-3. doi: 10.1016/j.medengphy.2010.12.011. Epub 2011 Jan 15.

PMID:
21242097
16.

Quantitative analysis of regulatory flexibility under changing environmental conditions.

Edwards KD, Akman OE, Knox K, Lumsden PJ, Thomson AW, Brown PE, Pokhilko A, Kozma-Bognar L, Nagy F, Rand DA, Millar AJ.

Mol Syst Biol. 2010 Nov 2;6:424. doi: 10.1038/msb.2010.81.

17.

Robustness from flexibility in the fungal circadian clock.

Akman OE, Rand DA, Brown PE, Millar AJ.

BMC Syst Biol. 2010 Jun 24;4:88. doi: 10.1186/1752-0509-4-88.

18.

Dynamics of saccadic oscillations.

Clement RA, Broomhead DS, Akman OE.

Prog Brain Res. 2008;171:131-6. doi: 10.1016/S0079-6123(08)00617-1.

PMID:
18718291
19.

Peeking into pit fields: a multiple twinning model of secondary plasmodesmata formation in tobacco.

Faulkner C, Akman OE, Bell K, Jeffree C, Oparka K.

Plant Cell. 2008 Jun;20(6):1504-18. doi: 10.1105/tpc.107.056903. Epub 2008 Jun 30.

20.

Isoform switching facilitates period control in the Neurospora crassa circadian clock.

Akman OE, Locke JC, Tang S, Carré I, Millar AJ, Rand DA.

Mol Syst Biol. 2008;4:164. doi: 10.1038/msb.2008.5. Epub 2008 Feb 12. Erratum in: Mol Syst Biol. 2008;4:186.

21.

Stability of the saccadic oculomotor system.

Laptev D, Akman OE, Clement RA.

Biol Cybern. 2006 Sep;95(3):281-7. Epub 2006 Jul 18.

PMID:
16847669
22.

Nonlinear time series analysis of jerk congenital nystagmus.

Akman OE, Broomhead DS, Clement RA, Abadi RV.

J Comput Neurosci. 2006 Oct;21(2):153-70. Epub 2006 May 26.

PMID:
16732490
23.

Eye movement instabilities and nystagmus can be predicted by a nonlinear dynamics model of the saccadic system.

Akman OE, Broomhead DS, Abadi RV, Clement RA.

J Math Biol. 2005 Dec;51(6):661-94. Epub 2005 Jun 6.

PMID:
15940536

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