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Number of items: 6.

Hegemann, B. and Unger, M. and Lee, S. S. and Stoffel-Studer, I. and van den Heuvel, J. and Pelet, S. and Koeppl, H. and Peter, M. (2015):
A Cellular System for Spatial Signal Decoding in Chemical Gradients.
In: Developmental Cell, 35 (4), pp. 458-470. Elsevier, [Article]

Zechner, C. and Unger, M. and Pelet, S. and Peter, M. and Koeppl, H. (2014):
Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings.
In: Nature methods, 11 (2), pp. 197-202. [Article]

Koeppl, H. and Zechner, C. and Ganguly, A. and Pelet, S. and Peter, M. (2012):
Accounting for extrinsic variability in the estimation of stochastic rate constants.
In: International Journal of Robust and Nonlinear Control, 22 (10), pp. 1103-1119. Wiley-Blackwell, [Article]

Zechner, C. and Ruess, J. and Krenn, P. and Pelet, S. and Peter, M. and Lygeros, J. and Koeppl, H. (2012):
Moment-based inference predicts bimodality in transient gene expression.
In: Proceedings of the National Academy of Sciences of the United States of America, 109 (21), pp. 8340-8345. [Article]

Zechner, C. and Pelet, S. and Peter, M. and Koeppl, H. (2011):
Recursive Bayesian estimation of stochastic rate constants from heterogeneous cell populations.
In: IEEE Conference on Decision and Control and European Control Conference, pp. 5837-5843. IEEE, [Article]

Koeppl, H. and Setti, G. and Pelet, S. and Mangia, M. and Petrov, T. and Peter, M. (2010):
Probability metrics to calibrate stochastic chemical kinetics.
In: Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on, [Article]

This list was generated on Sat Mar 6 02:24:30 2021 CET.