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182 Publications

2017 | Journal Article | IST-REx-ID: 666 | OA
Mitosch, K., Rieckh, G., & Bollenbach, M. T. (2017). Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment. Cell Systems. Cell Press. https://doi.org/10.1016/j.cels.2017.03.001
[Published Version] View | Files available | DOI
 
2017 | Journal Article | IST-REx-ID: 2016 | OA
Martin Del Campo Sanchez, A., Cepeda Humerez, S. A., & Uhler, C. (2017). Exact goodness-of-fit testing for the Ising model. Scandinavian Journal of Statistics. Wiley-Blackwell. https://doi.org/10.1111/sjos.12251
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2017 | Journal Article | IST-REx-ID: 1104 | OA
Deny, S., Ferrari, U., Mace, E., Yger, P., Caplette, R., Picaud, S., … Marre, O. (2017). Multiplexed computations in retinal ganglion cells of a single type. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-02159-y
[Published Version] View | Files available | DOI | WoS
 
2017 | Journal Article | IST-REx-ID: 993 | OA
Levina (Martius), A., & Priesemann, V. (2017). Subsampling scaling. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/ncomms15140
[Published Version] View | Files available | DOI | WoS
 
2017 | Journal Article | IST-REx-ID: 955 | OA
Friedlander, T., Prizak, R., Barton, N. H., & Tkačik, G. (2017). Evolution of new regulatory functions on biophysically realistic fitness landscapes. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-00238-8
[Published Version] View | Files available | DOI | WoS
 
2017 | Journal Article | IST-REx-ID: 959 | OA
De Martino, D. (2017). Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics. Physical Review E Statistical Nonlinear and Soft Matter Physics . American Institute of Physics. https://doi.org/10.1103/PhysRevE.95.062419
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
2017 | Journal Article | IST-REx-ID: 947 | OA
De Martino, D., Capuani, F., & De Martino, A. (2017). Quantifying the entropic cost of cellular growth control. Physical Review E Statistical Nonlinear and Soft Matter Physics . American Institute of Physics. https://doi.org/10.1103/PhysRevE.96.010401
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
2017 | Journal Article | IST-REx-ID: 943 | OA
Zagórski, M. P., Tabata, Y., Brandenberg, N., Lutolf, M., Tkačik, G., Bollenbach, T., … Kicheva, A. (2017). Decoding of position in the developing neural tube from antiparallel morphogen gradients. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aam5887
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | PubMed | Europe PMC
 
2017 | Journal Article | IST-REx-ID: 823 | OA
Colabrese, S., De Martino, D., Leuzzi, L., & Marinari, E. (2017). Phase transitions in integer linear problems. Journal of Statistical Mechanics: Theory and Experiment. IOPscience. https://doi.org/10.1088/1742-5468/aa85c3
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
2017 | Journal Article | IST-REx-ID: 730
Savin, C., & Tkačik, G. (2017). Maximum entropy models as a tool for building precise neural controls. Current Opinion in Neurobiology. Elsevier. https://doi.org/10.1016/j.conb.2017.08.001
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2017 | Journal Article | IST-REx-ID: 548 | OA
De Martino, D. (2017). Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes. Physical Review E. American Physical Society. https://doi.org/10.1103/PhysRevE.96.060401
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
2017 | Journal Article | IST-REx-ID: 1007 | OA
Lang, M., & Sontag, E. (2017). Zeros of nonlinear systems with input invariances. Automatica. International Federation of Automatic Control. https://doi.org/10.1016/j.automatica.2017.03.030
[Published Version] View | Files available | DOI | WoS
 
2017 | Research Data | IST-REx-ID: 5562 | OA
Marre, O., Tkačik, G., Amodei, D., Schneidman, E., Bialek, W., & Berry, M. (2017). Multi-electrode array recording from salamander retinal ganglion cells. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:61
[Published Version] View | Files available | DOI
 
2017 | Research Data | IST-REx-ID: 5560 | OA
Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild, R., … Guet, C. C. (2017). Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:53
[Published Version] View | Files available | DOI
 
2017 | Journal Article | IST-REx-ID: 665
Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild, R., … Guet, C. C. (2017). Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aaf4762
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2017 | Journal Article | IST-REx-ID: 735
Barone, V., Lang, M., Krens, G., Pradhan, S., Shamipour, S., Sako, K., … Heisenberg, C.-P. J. (2017). An effective feedback loop between cell-cell contact duration and morphogen signaling determines cell fate. Developmental Cell. Cell Press. https://doi.org/10.1016/j.devcel.2017.09.014
View | Files available | DOI | WoS
 
2016 | Conference Paper | IST-REx-ID: 1082 | OA
Chalk, M. J., Marre, O., & Tkačik, G. (2016). Relevant sparse codes with variational information bottleneck (Vol. 29, pp. 1965–1973). Presented at the NIPS: Neural Information Processing Systems, Barcelona, Spain: Neural Information Processing Systems.
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2016 | Conference Paper | IST-REx-ID: 1105
Savin, C., & Tkačik, G. (2016). Estimating nonlinear neural response functions using GP priors and Kronecker methods (Vol. 29, pp. 3610–3618). Presented at the NIPS: Neural Information Processing Systems, Barcelona; Spain: Neural Information Processing Systems.
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2016 | Journal Article | IST-REx-ID: 1170
Lang, M., & Stelling, J. (2016). Modular parameter identification of biomolecular networks. SIAM Journal on Scientific Computing. Society for Industrial and Applied Mathematics . https://doi.org/10.1137/15M103306X
[Submitted Version] View | Files available | DOI
 
2016 | Journal Article | IST-REx-ID: 1171
Tkačik, G. (2016). Understanding regulatory networks requires more than computing a multitude of graph statistics: Comment on "Drivers of structural features in gene regulatory networks: From biophysical constraints to biological function" by O. C. Martin et al. Physics of Life Reviews. Elsevier. https://doi.org/10.1016/j.plrev.2016.06.005
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