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2020 – today
- 2022
[j10]Behzad D. Karkaria
, Angelika Manhart, Alex J. H. Fedorec, Chris P. Barnes:
Chaos in synthetic microbial communities. PLoS Comput. Biol. 18(10): 1010548 (2022)- [j9]Neythen J. Treloar, Nathan Braniff, Brian P. Ingalls, Chris P. Barnes:
Deep reinforcement learning for optimal experimental design in biology. PLoS Comput. Biol. 18(11): 1010695 (2022) - 2020
- [j8]Neythen J. Treloar, Alex J. H. Fedorec, Brian P. Ingalls, Chris P. Barnes:
Deep reinforcement learning for the control of microbial co-cultures in bioreactors. PLoS Comput. Biol. 16(4) (2020)
2010 – 2019
- 2018
- [j7]Neil Dalchau, Gregory Szép, Rosa D. Hernansaiz-Ballesteros, Chris P. Barnes, Luca Cardelli, Andrew Phillips, Attila Csikász-Nagy:
Computing with biological switches and clocks. Nat. Comput. 17(4): 761-779 (2018) - 2016
- [j6]Miriam Leon, Mae L. Woods, Alex J. H. Fedorec, Chris P. Barnes:
A computational method for the investigation of multistable systems and its application to genetic switches. BMC Syst. Biol. 10: 130:1-130:12 (2016) - [j5]Mae L. Woods, Chris P. Barnes:
Mechanistic Modelling and Bayesian Inference Elucidates the Variable Dynamics of Double-Strand Break Repair. PLoS Comput. Biol. 12(10) (2016) - 2014
- [j4]Daniel Silk, Paul D. W. Kirk, Chris P. Barnes, Tina Toni, Michael P. H. Stumpf:
Model Selection in Systems Biology Depends on Experimental Design. PLoS Comput. Biol. 10(6) (2014) - [c1]Wolf-Ekkehard Matzke, Chris P. Barnes, Eyck Jentzsch, Thorsten Mascher, Michael P. H. Stumpf:
On Industrial Strength Bio-design Automation. ICTERI 2014: 277-299 - 2012
- [j3]Chris P. Barnes, Sarah Filippi, Michael P. H. Stumpf, Thomas Thorne:
Considerate approaches to constructing summary statistics for ABC model selection. Stat. Comput. 22(6): 1181-1197 (2012) - 2011
- [j2]Yanxiang Zhou, Juliane Liepe, Xia Sheng, Michael P. H. Stumpf, Chris P. Barnes:
GPU accelerated biochemical network simulation. Bioinform. 27(6): 874-876 (2011) - 2010
- [j1]Juliane Liepe, Chris P. Barnes, Erika Cule, Kamil Erguler, Paul D. W. Kirk, Tina Toni, Michael P. H. Stumpf:
ABC-SysBio - approximate Bayesian computation in Python with GPU support. Bioinform. 26(14): 1797-1799 (2010)
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