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Bioinformatics (Oxford, England)|November 3, 2009
Simulation-based model selection for dynamical systems in systems and population biologyTina Toni, Michael P H Stumpf
Methods in Molecular Biology (Clifton, N.J.)|September 14, 2010
Parameter inference and model selection in signaling pathway modelsTina Toni, Michael P H Stumpf
Journal of the Royal Society, Interface|April 10, 2010
Incomplete and noisy network data as a percolation processMichael P H Stumpf, Carsten Wiuf
Journal of the Royal Society, Interface|April 8, 2016
Coalescent models for developmental biology and the spatio-temporal dynamics of growing tissuesPatrick Smadbeck, Michael P H Stumpf
Mathematical Biosciences|September 23, 2008
Statistical interpretation of the interplay between noise and chaos in the stochastic logistic mapKamil Erguler, Michael P H Stumpf
Royal Society Open Science|December 12, 2019
Parameter inference in dynamical systems with co-dimension 1 bifurcationsElisabeth Roesch, Michael P H Stumpf
Royal Society Open Science|September 8, 2017
Control mechanisms for stochastic biochemical systems via computation of reachable setsEszter Lakatos, Michael P H Stumpf
BMC Bioinformatics|December 7, 2007
Generating confidence intervals on biological networksThomas Thorne, Michael P H Stumpf
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 26, 2005
Sampling properties of random graphs: the degree distributionMichael P H Stumpf, Carsten Wiuf
Physical Biology|November 12, 2020
Noise and the molecular processes underlying cell fate decision-makingAnissa Guillemin, Michael P H Stumpf
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