[30] | E. Bullinger, U. Greggers, and R. Menzel.
Generalization of
navigation memory in honeybees.
Frontiers in Behavioral Neuroscience, 17:1070957, 2023.
(DOI) |
[29] | H. Reeh, N. Rudolph, U. Billing, H. Christen, S. Streif,
E. Bullinger, M. Schliemann-Bullinger, R. Findeisen, F. Schaper, H. J. Huber,
and A. Dittrich.
Response to IL-6 trans-
and IL-6 classic signalling is determined by the ratio of the IL-6
receptor α to gp130 expression: Fusing experimental insights and
dynamic modelling.
Cell Communication and Signaling, 17(1):46, 2019.
(DOI) |
[28] | J. Matschek, E. Bullinger, F. von Haeseler, M. Skalej, and
R. Findeisen.
Mathematical 3D
modelling and sensitivity analysis of multipolar radiofrequency ablation in
the spine.
Mathematical Biosciences, 284:51–60, 2017.
(DOI) |
[27] | S. Koulchitsky, C. Delairesse, T. Beeken, A. Monteforte,
J. Dethier, E. Quertemont, R. Findeisen, E. Bullinger, and V. Seutin.
Activation of D2
autoreceptors alters cocaine-induced locomotion and slows down local field
oscillations in the rat ventral tegmental area.
Neuropharmacology, 108:120–127, 2016.
(DOI) |
[26] | M. Schliemann-Bullinger, D. Fey, T. Bastogne,
R. Findeisen, P. Scheurich, and E. Bullinger.
The experimental side
of parameter estimation.
In L. Geris and D. Gomez-Cabrero, editors, Uncertainty in Biology,
volume 17 of Studies in Mechanobiology, Tissue Engineering and
Biomaterials. Springer, 1 edition, 2016.
(DOI) |
[25] | J.-B. Tylcz, T. Bastogne, H. Benachour, D. Bechet,
E. Bullinger, H. Garnier, and M. Barberi-Heyob.
A model-based
pharmacokinetics characterization method of engineered nanoparticles for
pilot studies.
IEEE Transactions on NanoBioscience, 14(4):368–377, 6/2015.
(DOI) |
[24] | S. Blacher, C. Erpicum, B. Lenoir, J. Paupert, G. Moraes,
S. Ormenese, E. Bullinger, and A. Noël.
Cell invasion in the
spheroid sprouting assay: A spatial organisation analysis adaptable to cell
behaviour.
PLoS ONE, 9(5):e97019, 05/2014.
(DOI) |
[23] | M. C. Readman, M. Schliemann, D. Kalamatianos, and
E. Bullinger.
A feedback control
perspective on models of apoptosis signal transduction.
Chaos, Solitons & Fractals, 50:93–99, 2013.
Special Issue ‘Functionality and Dynamics in Biological Systems’.
(DOI) |
[22] | L. Trotta, E. Bullinger, and R. Sepulchre.
Global analysis of
dynamical decision-making models through local computation around the hidden
saddle.
PLoS One, 7(3):e33110, 2012.
(DOI)
(PMID:22438893) |
[21] | D. Fey, S. Commins, and E. Bullinger.
Feedback control
strategies for spatial navigation revealed by dynamic modelling of learning
in the Morris water maze.
J Comput Neurosci, 30(2):447–454, 2011.
(DOI)
(PMID:20799059) |
[20] | M. Schliemann, E. Bullinger, S. Borchers,
F. Allgöwer, R. Findeisen, and P. Scheurich.
Heterogeneity reduces
sensitivity of cell death for TNF-stimuli.
BMC Syst Biol, 5:204, 2011.
(DOI)
(PMID:22204418) |
[19] | D. Fey, R. Findeisen, and E. Bullinger.
Identification
of biochemical reaction networks using a parameter-free coordinate
system.
In P. A. Iglesias and B. Ingalls, editors, Control-Theoretic Approaches
in Systems Biology, pages 293–310. MIT Press, 2009. |
[18] | H. Huber,
E. Bullinger, and M. Rehm.
Systems biology
approaches to the study of apoptosis.
In X.-M. Yin and Z. Dong, editors, Essentials of Apoptosis, pages
283–297. Humana Press, second edition, 2009.
(DOI) |
[17] | E. Bullinger, D. Fey, M. Farina, and R. Findeisen.
Identifikation biochemischer
reaktionsnetzwerke: Ein beobachterbasierter ansatz.
AT-Automatisierungs-technik, 56(5):269–279, 2008.
(DOI) |
[16] | P. Wellstead, E. Bullinger, D. Kalamatianos, O. Mason, and
M. Verwoerd.
The rôle of
control and system theory in systems biology.
Annu Rev Control, 32:33–47, 2008.
(DOI) |
[15] | E. Bullinger, R. Findeisen, D. Kalamatianos, and
P. Wellstead.
System and control
theory furthers the understanding of biological signal transduction.
In I. Queinnec, S. Tarbouriech, G. Garcia, and S.-I. Niculescu, editors,
Biology and Control Theory: Current Challenges, volume 357 of
Lecture Notes in Control and Information Sciences, pages
123–135. Springer-Verlag, 2007.
(DOI) |
[14] | T. Eißing,
S. Waldherr, F. Allgöwer, P. Scheurich, and E. Bullinger.
Response to
Bistability in apoptosis: Roles of Bax, Bcl-2, and mitochondrial
permeability transition pores.
Biophys. J., 92(9):3332–3334, 2007.
(DOI)
(PMID:17277182) |
[13] | T. Eißing,
S. Waldherr, F. Allgöwer, P. Scheurich, and E. Bullinger.
Steady state and
(bi discretionary -)) stability evaluation of simple protease signalling
networks.
BioSystems, 90(3):591–601, 2007.
(DOI) |
[12] | T. Millat,
E. Bullinger, J. Rohwer, and O. Wolkenhauer.
Approximations and their
consequences for dynamic modelling of signal transduction pathways.
Math Bioscience, 207:40–57, 2007.
(DOI) |
[11] | M. Nickel,
E. Bullinger, and F. Beckmann.
Functional morphology of
tethya species (porifera): 2. Three-dimensional morphometrics
on spicules and skeleton superstructures of t. minuta.
Zoomorphology, 125(4):225–239, 2006.
(DOI) |
[10] | E. Bullinger and F. Allgöwer.
Adaptive
λ-tracking for nonlinear higher relative degree systems.
Automatica, 41(7):1191–2000, 2005.
(DOI) |
[9] | T. Eißing,
F. Allgöwer, and E. Bullinger.
Robustness properties of
apoptosis models with respect to parameter variations and intrinsic
noise.
IEE Proceedings—Systems Biology, 152(4):221–228, 2005.
Journal now known as IET Systems Biology.
(DOI) |
[8] | H. Conzelmann, J. Saez-Rodriguez, T. Sauter, E. Bullinger,
F. Allgöwer, and E. D. Gilles.
Reduction of mathematical
models of signal transduction networks: Simulation-based approach applied to
EGF receptor signaling.
IEE Systems Biology, 1(1):159–169, 2004.
Journal now known as IET Systems Biology.
(DOI) |
[7] | T. Eißing,
H. Conzelmann, E. D. Gilles, F. Allgöwer, E. Bullinger, and P. Scheurich.
Bistability analyses of a
caspase activation model for receptor-induced apoptosis.
J. Biol. Chem., 279(35):36892–36897, 2004.
(DOI)
(PMID:15208304) |
[6] | A. Kremling,
S. Fischer, K. Gadkar, F. J. Doyle III, T. Sauter, E. Bullinger,
F. Allgöwer, and E. D. Gilles.
A benchmark for methods in
reverse engineering and model discrimination: problem formulation and
solutions.
Genome Res., 14(9):1773–1785, 2004.
(DOI)
(PMID:15342560) |
[5] | T. Sauter
and E. Bullinger.
Detailed mathematical modeling of metabolic and regulatory networks.
BIOforum Europe, 2004(2):62–64, 2004. |
[4] | P. Schumm,
E. Bullinger, T. Schweickhardt, and F. Allgöwer.
Integration und
interaktion: Möglichkeiten des einsatzes von notebooks und internet in der
regelungstechnischen lehre.
AT-Automatisierungstechnik, 52(2):81–89, 2004.
(DOI) |
[3] | M. Ederer,
T. Sauter, E. Bullinger, E. D. Gilles, and F. Allgöwer.
An approach for dividing
models of biological reaction networks into functional units.
Simulation: Trans. Society for Modeling and Simulation
International, 79(12):703–716, 2003.
(DOI) |
[2] | L. Imsland,
R. Findeisen, E. Bullinger, F. Allgöwer, and B. Foss.
A note on stability,
robustness and performance of output feedback nonlinear model predictive
control.
J. Process Control, 13(7):633–644, 2003.
(DOI) |
[1] | C. W. Frei,
E. Bullinger, A. Gentilini, A. H. Glattfelder, T. Sieber, and A. M. Zbinden.
Artifact-tolerant
controllers for automatic drug delivery in anesthesia.
Crit. Rev. Biomed. Eng., 28(1–2):187–192, 2000.
(DOI)
(PMID:10999384) |
[44] | M. Kopf, E. Bullinger, H.-G. Giesseler, S. Adden, and
R. Findeisen.
Model predictive control
for aircraft load alleviation: Opportunities and challenges.
In Proc. American Control Conference (ACC), Milwaukee, WI, USA, 27–29
June 2018, pages 2417–2424, 2018.
(DOI) |
[43] | C. Kallies, M. Schliemann-Bullinger, R. Findeisen,
S. Lucia, and E. Bullinger.
Monotonicity of
kinetic proofreading.
In IFAC-PapersOnLine — Proc. of the 6th Foundations of
Systems Biology in Engineering FOSBE 2016, 9–12 October, Magdeburg,
Germany, 49(26):306–311, 2016.
(DOI) |
[42] | S. Lucia, M. Schliemann-Bullinger, R. Findeisen, and
E. Bullinger.
A set-based optimal
control approach for pharmacokinetic / pharmacodynamic drug dosage
design.
49(7):797–802, 6/2016.
(DOI) |
[41] | J. Matschek, A. Himmel, F. von Haeseler, E. Bullinger,
M. Skalej, and R. Findeisen.
Mathematical modelling
and sensitivity analysis of multipolar radiofrequency ablation in the
spine.
In IFAC-PapersOnLine — Proc. 9th IFAC Symposium on
Biological and Medical Systems (BMS 2015), 48(20), Berlin, Germany,
31/8-2/9/2015.
(DOI) |
[40] | B. Morabito, M. Kögel, E. Bullinger, G. Pannocchia, and
R. Findeisen.
Simple and efficient
moving horizon estimation based on the fast gradient method.
In IFAC-PapersOnLine — Proc. 5th IFAC Conference on
Nonlinear Model Predictive Control (NMPC'15), 48(23), Seville, Spain,
17-20/9/2015.
(DOI) |
[39] | M. Schliemann-Bullinger, M. C. Readman,
D. Kalamatianos, R. Findeisen, and E. Bullinger.
Unraveling apoptosis
signalling using linear control methods: Linking the loop gain to reverting
the decision to undergo apoptosis.
In IFAC-PapersOnLine — Proc. IFAC Symposium on Advanced Control of
Chemical Processes (ADCHEM 2015), 48(8), Whistler, BC, Canada,
07/6-10/06/2015.
(DOI) |
[38] | S. Koulchitsky, T. Beeken, A. Monteforte, J. Dethier,
E. Quertemont, R. Findeisen, E. Bullinger, and V. Seutin.
Changed state
changed brain shift of the dominant frequency of theta oscillations in the
rat VTA during stereotypic locomotion.
In Front. Hum. Neurosci., Ghent, Belgium, 10Q2014.
Conference Abstract: Belgian Brain Council 2014 ‘Modulating the Brain:
Facts, Fiction, Future’.
(DOI) |
[37] | M. Schliemann, S. Livingstone, M. C. Readman,
D. Kalamatianos, and E. Bullinger.
Quantifying
heterogeneity of cell death.
In Proc. of the 12th IFAC Symposium on Computer
Applications in Biotechnology, pages 181–186, Mumbai, India,
16-18/12/2013.
(DOI) |
[36] | L. Trotta, E. Bullinger, and R. J. Sepulchre.
Delayed-decision
making in noisy bistable switches.
In Proc. of the 12th IFAC Symposium on Computer
Applications in Biotechnology, pages 84–88, Mumbai, India,
16-18/12/2013.
(DOI) |
[35] | M. Schliemann, R. Findeisen, and E. Bullinger.
Robustness-based
model validation of an apoptosis signalling network model.
In 16th IFAC Symposium on System Identification,
pages 930–935, Brussels, Belgium, 11-13/07/2012.
(DOI) |
[34] | D. Fey and E. Bullinger.
Limiting the
parameter search space for dynamic models with rational kinetics using
semi-definite programming.
In Proc. of the 11th IFAC Symposium on Computer
Applications in Biotechnology, pages 150–155, Leuven, Belgium,
07-09/07/2010.
(DOI) |
[33] | L. Trotta, R. Sepulchre, and E. Bullinger.
Delayed decision-making in
bistable models.
In Proc. of the 49th IEEE Conf. on Decision and
Control, Atlanta, GA, USA, pages 816–821, 2010.
(DOI) |
[32] | D. Fey and E. Bullinger.
A dissipative
approach to the identification of biochemical reaction networks.
In 15th IFAC Symposium on System Identification,
pages 1259–1264, Saint Malo, France, 06-08/07/2009.
(DOI) |
[31] | P. Murray, S. Marshall, and E. Bullinger.
The
percentage occupancy hit or miss transform.
In Proc. 17th European Signal Processing Conference
(EUSIPCO 2009), pages 253–257, Glasgow, Scotland,
24-28/08/2009. |
[30] | D. Fey, R. Findeisen,
and E. Bullinger.
Parameter
estimation in kinetic reaction models using nonlinear observers facilitated
by model extensions.
In Proc. of the 17th IFAC World Congress, Seoul,
Korea, pages 313–318, 2008.
(DOI) |
[29] | M. Nickel, J. U.
Hammel, J. Herzen, E. Bullinger, and F. Beckmann.
High-density resolution
synchrotron radiation based X-ray microtomography (SRμCT) for
quantitative 3D-morphometrics in zoological sciences.
In Developments in X-Ray Tomography VI, 7078:70781W, 08Q2008.
Optical Engineering+Application Conference, San Diego, California, USA, 10–14
August 2008.
(DOI) |
[28] | M. Farina,
E. Bullinger, R. Findeisen, and S. Bittanti.
An observability based strategy for
parameter identification in systems biology.
In Proc. of the 2nd Foundations of Systems Biology in
Engineering FOSBE 2007, 9–12 September, Stuttgart, Germany, pages
521–526, 2007. |
[27] | M. Schliemann, T. Eißing, P. Scheurich, and
E. Bullinger.
Mathematical modelling of
TNF-α induced anti-apoptotic signalling pathways in mammalian cells
based on dynamic and quantitative experiments.
In Proc. of the 2nd Foundations of Systems Biology in
Engineering FOSBE 2007, 9–12 September, Stuttgart, Germany, pages
213–218, 2007. |
[26] | S. Streif,
R. Findeisen, and E. Bullinger.
Nonlinear sensitivity analysis of
biochemical reaction networks, by bilinear approximation.
In Proc. of the 2nd Foundations of Systems Biology in
Engineering FOSBE 2007, 9–12 September, Stuttgart, Germany, pages
515–520, 2007. |
[25] | T. Eißing,
S. Waldherr, C. Gondro, E. Bullinger, O. Sawodny, F. Allgöwer, P. Scheurich,
and T. Sauter.
Sensitivity
analysis of programmed cell death and implications for crosstalk phenomena
during Tumor Necrosis Factor stimulation.
In Proc. of the IEEE Conference on Control Applications, 4–6 October,
Munich, Germany, pages 1746–1752, 2006.
(DOI) |
[24] | M. Farina,
R. Findeisen, E. Bullinger, S. Bittanti, F. Allgöwer, and P. Wellstead.
Results towards
identifiability properties of biochemical reaction networks.
In Proc. of the 45th IEEE Conf. on Decision and
Control, San Diego, USA, pages 2104–2109, 2006.
(DOI) |
[23] | S. Streif,
R. Findeisen, and E. Bullinger.
Relating cross
Gramians and sensitivity analysis in systems biology.
In Proc. of the 17th Int. Symposium on Mathematical
Theory of Networks and Systems, Kyoto, Japan, pages 437–442,
24-28/07/2006. |
[22] | E. Bullinger.
System analysis of a
programmed cell death model.
In Proc. of the 44th IEEE Conf. on Decision and
Control & European Control Conference, ECC'05, Seville, Spain,
pages 7994–7999, 2005.
(DOI) |
[21] | C. Cimatoribus, T. Eißing, N. Elvassore, F. Allgöwer, and
E. Bullinger.
Model discrimination tools in apoptosis.
In Proc. of the Foundations of Systems Biology in Engineering FOSBE
2005, 7–10 August, Santa Barbara, CA, USA, pages 197–200,
2005. |
[20] | I. Ofiteru,
V. Lavric, F. Allgöwer, and E. Bullinger.
Sensitivity analysis of Escherichia coli's Tricarboxilic Acid Cycle
under anaerobic conditions.
In Proc. of the Foundations of Systems Biology in Engineering FOSBE
2005, 7–10 August, Santa Barbara, CA, USA, pages 337–340,
2005. |
[19] | P. Wellstead, O. Mason, W. O'Connor, K.-H. Cho,
E. Bullinger, O. Wolkenhauer, and S. Duncan.
Towards a systems understanding of the cerebral motor circuit.
In Proc. of the Foundations of Systems Biology in Engineering FOSBE
2005, 7–10 August, Santa Barbara, CA, USA, pages 185–188,
2005. |
[18] | M. Ederer,
E. Bullinger, and T. Sauter.
Structuring of the cellular metabolism into functional units with mathematical
methods.
In W. Klonowski, editor, Simplicity behind Complexity, Proc. 3rd European Interdisciplinary School on Nonlinear Dynamics for
System and Signal Analysis, June 18–27, 2002, Warsaw, Poland,
3:450–457, 2004. |
[17] | P. Schumm,
E. Bullinger, T. Schweickhardt, and F. Allgöwer.
Der einsatz neuer medien in der regelungstechnischen ausbildung.
In GMA-Kongress, Baden-Baden, pages 1061–1068, 2003. |
[16] | E. Bullinger and F. Allgöwer.
Adaptive
λ-tracking for higher relative degree systems.
In 21st Benelux Meeting on Systems and Control,
Veldhoven, The Netherlands, 19–21 March, 2002. |
[15] | E. Bullinger, T. Sauter, F. Allgöwer, and E. D. Gilles.
On deriving a
hybrid model for carbohydrate uptake in Escherichia Coli.
In Proc. of the 15th IFAC World Congress, Barcelona,
Spain, pages 19–24, 2002.
(DOI) |
[14] | C. Burger,
E. Bullinger, S. Papakosta, and T. Wagner.
Context awareness for application sharing in teaching environment.
In Int. Conf. Advances in Infrastructure for e-Business, e-Education,
e-Science, and e-Medicine on the Internet (SSGRR 2002w), Aquila,
Italy, 2002. |
[13] | C. Burger,
S. Papakosta, E. Bullinger, and T. Wagner.
Investigation of application sharing systems for teaching purposes in
engineering disciplines.
In 4th Int. Conf. New Educational Environment, Lugano,
Switzerland, 2002. |
[12] | E. Bullinger, R. Findeisen, and F. Allgöwer.
Adaptive λ-tracking of nonlinear systems with higher relative degree
using reduced-order high gain control.
In Proc. of the IFAC Nonlinear Control Systems Design, NOLCOS01,
St. Petersburg, Russia, pages 92–97, 04-06/07/2001. |
[11] | L. Imsland,
R. Findeisen, E. Bullinger, F. Allgöwer, and B. Foss.
On output feedback nonlinear model predictive control using high gain observers
for a class of systems.
In 6th IFAC Symposium on Dynamics and Control of Process
Systems, DYCOPS-6, Jejudo, Korea, pages 91–96, 06Q2001. |
[10] | A. Kremling,
T. Sauter, E. Bullinger, M. Ederer, F. Allgöwer, and E. D. Gilles.
Biosystems engineering: Applying methods from systems theory to biological
systems.
In Proc. of the 2nd Int. Conf. Systems Biology,
Pasadena, CA, USA, pages 282–290, 2001. |
[9] | E. Bullinger and F. Allgöwer.
Adaptive
λ-tracking for nonlinear systems with higher relative degree.
In Proc. of the 39th IEEE Conf. on Decision and
Control, Sydney, Australia, pages 4771–4776, 2000.
(DOI) |
[8] | E. Bullinger, R. Findeisen, F. Kraus, and F. Allgöwer.
Some further results on
adaptive λ-tracking for linear systems with high relative
degree.
In Proc. of the 2000 American Control Conf., 5:3655–3660,
Chicago, Il, 2000.
(DOI) |
[7] | E. Bullinger, C. W. Frei, T. J. Sieber, A. H. Glattfelder,
F. Allgöwer, and A. M. Zbinden.
Adaptive λ-tracking in anesthesia.
In E. Carson and E. Salzsieder, editors, Proc. of the
4th IFAC Symposium Modelling and Control in Biomedical
Systems, Greifswald, Germany, pages 181–186, 2000. |
[6] | E. Bullinger and F. Allgöwer.
Adaptive λ-tracking for linear systems with higher relative
degree—the continuous adaptation case.
In Proc. of the 5th European Control Conference,
ECC'99, Karlsruhe, Germany, :511, 08Q1999. |
[5] | E. Bullinger, A. Ilchmann, and F. Allgöwer.
Piecewise constant high-gain adaptive λ-tracking for higher relative
degree linear systems.
In Proc. of the 14th IFAC World Congress, Beijing,
China, 5:249–254, 1999. |
[4] | C. W. Frei,
E. Bullinger, T. Sieber, A. H. Glattfelder, and A. M. Zbinden.
Artefakttolerante Regelungen für die Anästhesie.
In AUTOMED '99, Beiträge zum Workshop ``Automatisierungstechnische
Verfahren für die Medizin'', 25./26. Februar, Darmstadt,
17(183):37–38, 1999. |
[3] | E. Bullinger, A. Ilchmann, and F. Allgöwer.
A simple adaptive observer for nonlinear systems.
In Proc. of the IFAC Nonlinear Control Systems Design, NOLCOS98,
Enschede, The Netherlands, 3:781–786, 1998. |
[2] | E. Bullinger and F. Allgöwer.
An adaptive high-gain
observer for nonlinear systems.
In Proc. of the 36th IEEE Conf. on Decision and
Control, San Diego, USA, pages 4348–4353, 1997.
(DOI) |
[1] | R. Bacher
and E. Bullinger.
Application of non-stationary iterative methods to an exact Newton-Raphson
solution process for power flow equations.
In 12th Power Systems Computation Conference, Dresden,
Germany, pages 453–459, 1996. |
[20] | S. Koulchitsky, J. Dethier, E. Bullinger, R. Sepulchre, and
V. M. Seutin.
Single-cell activity and local field potentials in the ventral tegmental area
of awake, freely moving rats.
In Neuroscience 2012, 13-17/10/2012. |
[19] | M. Schliemann, R. Findeisen, P. Scheurich, and
E. Bullinger.
Dose-response characterization of tumour necrosis factor induced pro- and
anti-apoptotic signalling pathways: From experiment to mathematical modelling
for optimizing and designing quantitative therapeutic strategies.
In Biomedica 2012, The European Life Sciences Summit,
18-19/04/2012. |
[18] | D. Fey, S. Commins, and E. Bullinger.
Modelling and simulation of rat swimming in a water maze experiment.
In BioSysBio, 23–25 March 2009, Cambridge, UK,
23-25/03/2009. |
[17] | M. Schliemann, P. Scheurich, and E. Bullinger.
A system understanding of TNF-α induced apoptotic and antiapoptotic
signalling: Combining single cell and population modelling with dynamic and
quantitative experiments.
In BioSysBio, 23–25 March 2009, Cambridge, UK,
23-25/03/2009. |
[16] | D. Fey and E. Bullinger.
Exploiting biology specific properties for the estimation of kinetic
parameters.
In 2nd International Workshop on Systems Biology, Maynooth,
Ireland, 17–20 August 2008, 08Q2008. |
[15] | M. Schliemann, S. Borchers, P. Scheurich, and E. Bullinger.
TNF-α induced apoptotic and anti-apoptotic signalling: A systems
biology approach combining dynamic and quantitative experiments with
mathematical modelling.
In 2nd International Workshop on Systems Biology, Maynooth,
Ireland, 17–20 August 2008, 17-20/08/2008.
Best poster price awarded to M. Schliemann. |
[14] | D. Fey and
E. Bullinger.
Model extension facilitates parameter estimation for kinetic reaction networks.
Proc. of the 2nd Foundations of Systems Biology in Engineering
FOSBE 2007, 9–12 September, Stuttgart, Germany, 10/2007. |
[13] | D. Fey and
E. Bullinger.
Model extension facilitates parameter estimation for kinetic reaction networks.
Proc. of the 8th Int. Conf. Systems Biology, Long Beach, CA,
USA, 10/2007. |
[12] | D. Fey and
E. Bullinger.
Model extension facilitates parameter estimation for kinetic reaction networks.
Computational Methods in Systems Biology (CMSB), Edinburgh, 09/2007. |
[11] | F. Kämper,
O. Selchow, D. Kalamatianos, H. Wajant, K. Pfizenmaier, and E. Bullinger.
High-throughput image analysis for the classification of subcellular
localization patterns of fluorescently labelled proteins.
In 7th International Conference on Systems Biology ICSB
2006, 9–11 October, Yokohama, Japan, 2006. |
[10] | M. Schliemann, T. Sauter, E. Bullinger, T. Eißing,
F. Allgöwer, O. Sawodny, and P. Scheurich.
Mathematical modelling of TNF induced apoptotic and anti-apoptotic crosstalk
in mammalian cells.
In Conference on Systems Biology of Mammalian Cells - SBMC 2006, 12–14
July, Heidelberg, Germany, 12-14/07/2006. |
[9] | T. Sauter,
M. Schliemann, T. Eißing, E. Bullinger, E. D. Gilles, F. Allgöwer, and
P. Scheurich.
Mathematical modelling of TNF induced apoptosis and anti-apoptotic crosstalk
in mammalian cells.
6th International Conference on Systems Biology ICSB 2005, 19–24
October, Boston, MA, USA, 10/2005. |
[8] | H. Conzelmann, J. Saez-Rodriguez, T. Sauter, E. Bullinger,
F. Allgöwer, and E. D. Gilles.
Domain oriented model reduction of signal transduction models.
In Proc. of the 5th International Conference on Systems
Biology - ICSB 2004, 9–13 October, Heidelberg, Germany,
2004. |
[7] | T. Eißing,
H. Conzelmann, E. D. Gilles, F. Allgöwer, E. Bullinger, and P. Scheurich.
Mathematical modelling applied to caspase activation reveals a requirement for
additional control.
In Proc. of the 5th International Conference on Systems
Biology - ICSB 2004, 9–13 October, Heidelberg, Germany,
2004. |
[6] | H. Conzelmann, T. Sauter, E. Bullinger, F. Allgöwer, and
E. D. Gilles.
Modellreduktion und Analyse des metabolen Netzwerks der Zuckeraufnahme
in Escherichia coli.
Dechema Jahrestagung der Biotechnologen, München, 2003. |
[5] | A. Haubelt,
E. Bullinger, T. Sauter, F. Allgöwer, and E. D. Gilles.
Systems biology—a glossary from two perspectives.
Proc. of the 3rd Int. Conf. Systems Biology, Stockholm,
Sweden, 12/2002.
see also url http://www.sysbio.de/projects/glossary/. |
[4] | A. Kremling, S. Fischer, F. Doyle III, K. Gadkar,
T. Sauter, E. Bullinger, F. Allgöwer, and E. D. Gilles.
A benchmark for methods in reverse engineering and model discrimination:
Problem formulation and solutions.
Proc. of the 3rd Int. Conf. Systems Biology, Stockholm,
Sweden, 12/2002. |
[3] | R. Findeisen, E. Bullinger, and F. Allgöwer.
On using high gain observers for control.
BatchPro Meeting in Louvain-la-Neuve, Belgium, 11/2001. |
[2] | T. Sauter,
E. Bullinger, F. Allgöwer, and E. D. Gilles.
Hypothesis testing in Escherichia coli using mathematical modeling.
Workshop: Complexity in Biosystems: Innovative Approaches at the Interface of
Experimental and Computational Modeling, DIMACS, Rutgers University,
Picataway, NJ, 04/2001. |
[1] | E. Bullinger and F. Kraus.
Solvability of certain matrix inequalities.
Technical Report 99-06, Automatic Control Laboratory, Swiss Federal Institute
of Technology (ETH), Zürich, Switzerland, 03/1999. |