DOI,IST REx ID,Research Group,Title of publication
10.1103/PhysRevE.96.060401,548,GaTk,Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes
10.15479/AT:ISTA:53,5560,"CaGu,GaTk,Bio",Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity
10.15479/AT:ISTA:61,5562,GaTk,Multi-electrode array recording from salamander retinal ganglion cells
10.1038/s41467-017-01683-1,613,"CaGu,GaTk",Shaping bacterial population behavior through computer interfaced control of individual cells
10.1109/DEVLRN.2016.7846789,652,"ChLa,GaTk",Dynamical self consistency leads to behavioral development and emergent social interactions in robots
10.3389/fnbot.2017.00008,658,"ChLa,GaTk",Self organized behavior generation for musculoskeletal robots
10.1126/science.aaf4762,665,"CaGu,GaTk,Bio",Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity
10.1371/journal.pcbi.1005582,680,GaTk,Sensory noise predicts divisive reshaping of receptive fields
10.1371/journal.pcbi.1005763,720,GaTk,Probabilistic models for neural populations that naturally capture global coupling and criticality
10.1073/pnas.1703817114,725,GaTk,Discrete modes of social information processing predict individual behavior of fish in a group
10.1371/journal.pcbi.1005582.s001,9855,GaTk,Supplementary appendix
10.1038/ncomms15140,993,"GaTk,JoCs",Subsampling scaling
10.1038/s41467-017-00238-8,955,"GaTk,NiBa",Evolution of new regulatory functions on biophysically realistic fitness landscapes
10.1111/sjos.12251,2016,GaTk,Exact goodness-of-fit testing for the Ising model
10.1016/j.cels.2017.03.001,666,"ToBo,GaTk",Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment
10.1016/j.conb.2017.08.001,730,GaTk,Maximum entropy models as a tool for building precise neural controls
10.1016/j.devcel.2017.09.014,735,"CaHe,CaGu,GaTk",An effective feedback loop between cell-cell contact duration and morphogen signaling determines cell fate
10.1016/j.biosystems.2016.07.005,1148,"ToHe,GaTk",Adaptive moment closure for parameter inference of biochemical reaction networks
10.1137/15M103306X,1170,"CaGu,GaTk",Modular parameter identification of biomolecular networks
10.1016/j.plrev.2016.06.005,1171,GaTk,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.