2013 — Publications — Theoretical Systems Biology Group

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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