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1.
Kazeroonian, A. ; Theis, F.J. & Hasenauer, J.: A scalable moment-closure approximation for large-scale biochemical reaction networks. Bioinformatics 33, i293-i300 (2017)
2.
Fröhlich, F. et al.: Inference for stochastic chemical kinetics using moment equations and system size expansion. PLoS Comput. Biol. 12:e1005030 (2016)
3.
Kazeroonian, A. ; Fröhlich, F. ; Raue, A.* ; Theis, F.J. & Hasenauer, J.: CERENA: ChEmical REaction Network Analyzer - a toolbox for the simulation and analysis of stochastic chemical kinetics. PLoS ONE 11:e0146732 (2016)
4.
Hasenauer, J. ; Wolf, V.* ; Kazeroonian, A. & Theis, F.J.: Method of conditional moments (MCM) for the chemical master equation: A unified framework for the method of moments and hybrid stochastic-deterministic models. J. Math. Biol. 69, 687-735 (2014)
5.
Kazeroonian, A. ; Theis, F.J. & Hasenauer, J.: Modeling of stochastic biological processes with non-polynomial propensities using non-central conditional moment equation. IFAC PapersOnline 19, 1729-1735 (2014)
6.
Kazeroonian, A. ; Hasenauer, J. & Theis, F.J.: Parameter estimation for stochastic biochemical processes: A comparison of moment equation and fintie state projection. In: Autio, R.* ; Shmulevich, I.* ; Strimmer, K.* ; Wiuf, C.* ; Sarbu, S.* ; Yli-Harja, O.* [Eds.]: Proceedings of the WCSB 2013 (10th International Workshop on Computational Systems Biology, 10 - 12 June 2013, Tampere, Finland). Tampere: Tampere International Center for Signal Processing, 2013. 66-73 (TICSP Series ; 63)