Christoph Zechner
Title
Cited by
Cited by
Year
Moment-based inference predicts bimodality in transient gene expression
C Zechner, J Ruess, P Krenn, S Pelet, M Peter, J Lygeros, H Koeppl
Proceedings of the National Academy of Sciences 109 (21), 8340-8345, 2012
2292012
Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings
C Zechner, M Unger, S Pelet, M Peter, H Koeppl
Nature methods 11 (2), 197-202, 2014
1252014
Digital quantification of proteins and mRNA in single mammalian cells
C Albayrak, CA Jordi, C Zechner, J Lin, CA Bichsel, M Khammash, S Tay
Molecular cell 61 (6), 914-924, 2016
1222016
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge
AL Tarca, M Lauria, M Unger, E Bilal, S Boue, K Kumar Dey, J Hoeng, ...
Bioinformatics 29 (22), 2892-2899, 2013
1122013
Phase separation provides a mechanism to reduce noise in cells
A Klosin, F Oltsch, T Harmon, A Honigmann, F Jülicher, AA Hyman, ...
Science 367 (6476), 464-468, 2020
862020
Molecular circuits for dynamic noise filtering
C Zechner, G Seelig, M Rullan, M Khammash
Proceedings of the National Academy of Sciences 113 (17), 4729-4734, 2016
622016
Design of a synthetic integral feedback circuit: dynamic analysis and DNA implementation
C Briat, C Zechner, M Khammash
ACS synthetic biology 5 (10), 1108-1116, 2016
562016
Autocrine signaling is a key regulatory element during osteoclastogenesis
P Kopesky, K Tiedemann, D Alkekhia, C Zechner, B Millard, B Schoeberl, ...
Biology open 3 (8), 767-776, 2014
482014
Accounting for extrinsic variability in the estimation of stochastic rate constants
H Koeppl, C Zechner, A Ganguly, S Pelet, M Peter
International Journal of Robust and Nonlinear Control 22 (10), 1103-1119, 2012
342012
Uncoupled Analysis of Stochastic Reaction Networks in Fluctuating Environments
C Zechner, H Koeppl
Plos Computational Biology 10 (12), e1003942, 2014
322014
Bayesian inference of reaction kinetics from single-cell recordings across a heterogeneous cell population
L Bronstein, C Zechner, H Koeppl
Methods 85, 22-35, 2015
172015
Uniform gene expression in embryos is achieved by temporal averaging of transcription noise
LC Stapel, C Zechner, NL Vastenhouw
Genes & development 31 (16), 1635-1640, 2017
162017
Regularized variational bayesian learning of echo state networks with delay&sum readout
D Shutin, C Zechner, SR Kulkarni, HV Poor
Neural computation 24 (4), 967-995, 2012
152012
Control of Hox transcription factor concentration and cell-to-cell variability by an auto-regulatory switch
DK Papadopoulos, K Skouloudaki, Y Engström, L Terenius, R Rigler, ...
Development 146 (12), dev168179, 2019
132019
Parameter inference for stochastic single-cell dynamics from lineage tree data
I Kuzmanovska, A Milias-Argeitis, J Mikelson, C Zechner, M Khammash
BMC systems biology 11 (1), 1-13, 2017
13*2017
Recursive Bayesian estimation of stochastic rate constants from heterogeneous cell populations
C Zechner, S Pelet, M Peter, H Koeppl
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
122011
Reconstructing dynamic molecular states from single-cell time series
L Huang, L Pauleve, C Zechner, M Unger, AS Hansen, H Koeppl
Journal of The Royal Society Interface 13 (122), 20160533, 2016
92016
Optimal variational perturbations for the inference of stochastic reaction dynamics
C Zechner, P Nandy, M Unger, H Koeppl
2012 IEEE 51st IEEE conference on decision and control (CDC), 5336-5341, 2012
92012
Stochasticity and determinism in cell fate decisions
C Zechner, E Nerli, C Norden
Development 147 (14), dev181495, 2020
72020
Selected-node stochastic simulation algorithm
L Duso, C Zechner
The Journal of chemical physics 148 (16), 164108, 2018
72018
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Articles 1–20