Maximizing the Information Content of Experiments in Systems Biology

Liepe, Juliane and Filippi, Sarah and Komorowski, Michał and Stumpf, Michael PH (2013). PLoS Computational Biology, 9(1), e1002888.
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Decomposing Noise in Biochemical Signaling Systems Highlights the Role of Protein Degradation

Komorowski, Michał and Miękisz, Jacek and Stumpf, Michael PH (2013). Biophysical Journal, 104(8), 1783-1793.
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Cellular Compartments Cause Multistability and Allow Cells to Process More Information

Harrington, Heather A and Feliu, Elisenda and Wiuf, Carsten and Stumpf, Michael PH (2013). Biophysical Journal, 104(8), 1824-1831.
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On Optimality of Kernels for Approximate Bayesian Computation Using Sequential Monte Carlo

Filippi, Sarah and Barnes, Chris P and Cornebise, Julien and Stumpf, Michael PH (2013). Statistical applications in genetics and molecular biology, 12(1), 87-107.
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Population Dynamics of Normal and Leukaemia Stem Cells in the Haematopoietic Stem Cell Niche Show Distinct Regimes Where Leukaemia Will Be Controlled

MacLean, Adam L and Lo Celso, Cristina and Stumpf, Michael PH (2013). Journal of The Royal Society Interface, 10(81), 20120968.
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Model Selection in Systems and Synthetic Biology

Kirk, Paul and Thorne, Thomas and Stumpf, Michael PH (2013). Current Opinion in Biotechnology, 24(4), 767-774.
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A General Moment Expansion Method for Stochastic Kinetic Models

Ale, Angelique and Kirk, Paul and Stumpf, Michael PH (2013). The Journal of Chemical Physics, 138(17), 174101.
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Balancing the Robustness and Predictive Performance of Biomarkers

Kirk, Paul and Witkover, Aviva and Bangham, Charles RM and Richardson, Sylvia and Lewin, Alexandra M and Stumpf, Michael PH (2013). Journal of Computational Biology, 20(12), 979-989.
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Optimizing Threshold-Schedules for Sequential Approximate Bayesian Computation: Applications to Molecular Systems

Silk, Daniel and Filippi, Sarah and Stumpf, Michael PH (2013). Statistical Applications in Genetics and Molecular Biology, 12(5), 603-618.
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Theoretical Systems Biology Group

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