Stone, L., Baym, M., Lieberman, T., Chait, R. P., Clardy, J., &; Kishony, R. (2016). Compounds that select against the tetracycline-resistance efflux pump. Nature Chemical Biology. Nature Publishing Group.https://doi.org/10.1038/nchembio.2176 

Lang, M., &; Sontag, E. (2016). Scale-invariant systems realize nonlinear differential operators (Vol. 2016–July). Presented at the ACC: American Control Conference, Boston, MA, USA: IEEE.https://doi.org/10.1109/ACC.2016.7526722 

Chait, R. P., Palmer, A., Yelin, I., &; Kishony, R. (2016). Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/ncomms10333 

Baym, M., Lieberman, T., Kelsic, E., Chait, R. P., Gross, R., Yelin, I., &; Kishony, R. (2016). Spatiotemporal microbial evolution on antibiotic landscapes. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.aag0822 

De Martino, D., Capuani, F., &; De Martino, A. (2016). Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli. Physical Biology. IOP Publishing Ltd.https://doi.org/10.1088/1478-3975/13/3/036005 

Bodova, K., Tkadik, G., &; Barton, N. H. (2016). A general approximation for the dynamics of quantitative traits. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.115.184127 

De Martino, D. (2016). Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis. Physical Biology. IOP Publishing Ltd.https://doi.org/10.1088/1478-3975/13/1/016003 

Schilling, C., Bogomolov, S., Henzinger, T. A., Podelski, A., &; Ruess, J. (2016). Adaptive moment closure for parameter inference of biochemical reaction networks. Biosystems. Elsevier.https://doi.org/10.1016/j.biosystems.2016.07.005 

Martius, G. S., Hostettler, R., Knoll, A., &; Der, R. (2016). Self-organized control of an tendon driven arm by differential extrinsic plasticity. In Proceedings of the Artificial Life Conference 2016 (Vol. 28, pp. 142–143). Cancun, Mexico: MIT Press.https://doi.org/10.7551/978-0-262-33936-0-ch029 

Prentice, J., Marre, O., Ioffe, M., Loback, A., Tkadik, G., &; Berry, M. (2016). Error-robust modes of the retinal population code. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005148 

Monk, T., Savin, C., &; Lücke, J. (2016). Neurons equipped with intrinsic plasticity learn stimulus intensity statistics (Vol. 29, pp. 4285–4293). Presented at the NIPS: Neural Information Processing Systems, Barcelona, Spaine: Neural Information Processing Systems.

Hillenbrand, P., Gerland, U., &; Tkadik, G. (2016). Beyond the French flag model: Exploiting spatial and gene regulatory interactions for positional information. PLoS One. Public Library of Science.https://doi.org/10.1371/journal.pone.0163628 

Hillenbrand, P., Gerland, U., &; Tkadik, G. (2016). Computation of positional information in an Ising model. Public Library of Science.https://doi.org/10.1371/journal.pone.0163628.s002 

Hillenbrand, P., Gerland, U., &; Tkadik, G. (2016). Error bound on an estimator of position. Public Library of Science.https://doi.org/10.1371/journal.pone.0163628.s001 

Hillenbrand, P., Gerland, U., &; Tkadik, G. (2016). Computation of positional information in a discrete morphogen field. Public Library of Science.https://doi.org/10.1371/journal.pone.0163628.s003 

Rieckh, G. (2016). Studying the complexities of transcriptional regulation. Institute of Science and Technology Austria.

Friedlander, T., Prizak, R., Guet, C. C., Barton, N. H., &; Tkadik, G. (2016). Intrinsic limits to gene regulation by global crosstalk. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/ncomms12307 

Parise, F., Lygeros, J., &; Ruess, J. (2015). Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study. Frontiers in Environmental Science. Frontiers.https://doi.org/10.3389/fenvs.2015.00042 

Ruess, J. (2015). Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space. Journal of Chemical Physics. American Institute of Physics.https://doi.org/10.1063/1.4937937 

Ruess, J., Parise, F., Milias Argeitis, A., Khammash, M., &; Lygeros, J. (2015). Iterative experiment design guides the characterization of a light-inducible gene expression circuit. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1423947112