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1.
Schmiester, L. ; Weindl, D. & Hasenauer, J.: Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approach. J. Math. Biol. 81, 603–623 (2020)
2.
Meehan, M.T.* ; Cocks, D.G.* ; Müller, J. & McBryde, E.S.*: Global stability properties of a class of renewal epidemic models. J. Math. Biol. 78, 1713-1725 (2019)
3.
Veerman, F.* ; Marr, C. & Popović, N.*: Time-dependent propagators for stochastic models of gene expression: An analytical method. J. Math. Biol., 1-52 (2017)
4.
Popovic, N.* ; Marr, C. & Swain, P.S.*: A geometric analysis of fast-slow models for stochastic gene expression. J. Math. Biol. 72, 87-122 (2015)
5.
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)
6.
Onyango, N.O.* & Müller, J.: Determination of optimal vaccination strategies using an orbital stability threshold from periodically driven systems. J. Math. Biol. 68, 763-784 (2014)
7.
Zeiser, S. ; Franz, U. & Liebscher, V.: Autocatalytic genetic networks modeled by piecewise-deterministic Markov processes. J. Math. Biol. 60, 207-246 (2010)
8.
Schlicht, R. & Winkler, G.: A delay stochastic process with applications in molecular biology. J. Math. Biol. 57, 613-648 (2008)
9.
Müller, J.* ; Kuttler, C. ; Hense, B.A. ; Rothballer, M. & Hartmann, A.: Cell-cell communication by quorum sensing and dimension-reduction. J. Math. Biol. 53, 672-702 (2006)