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Ringbauer, H. (2018). Inferring recent demography from spatial genetic structure. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_963 
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Chen, C. (2018). Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_997 
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Alt, J. (2018). Dyson equation and eigenvalue statistics of random matrices. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:TH_1040 
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Case, M. J. (2018). From the left to the right: A tale of asymmetries, environments, and hippocampal development. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_1032 
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Laukoter, S. (2018). Role of genomic imprinting in cerebral cortex development. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th1057 
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Lukacisinova, M. (2018). Genetic determinants of antibiotic resistance evolution. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th1072 
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Budanur, N. B., &; Cvitanovi, P. (2017). Unstable manifolds of relative periodic orbits in the symmetry reduced state space of the Kuramoto–Sivashinsky system. Journal of Statistical Physics. Springer.https://doi.org/10.1007/s10955-016-1672-z 
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Chatterjee, K., Ibsen-Jensen, R., &; Nowak, M. (2017). Faster Monte Carlo algorithms for fixation probability of the Moran process on undirected graphs. In Leibniz International Proceedings in Informatics (Vol. 83). Aalborg, Denmark: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.MFCS.2017.61 
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Goaoc, X., Mabillard, I., Paták, P., Patakova, Z., Tancer, M., &; Wagner, U. (2017). On generalized Heawood inequalities for manifolds: A van Kampen–Flores type nonembeddability result. Israel Journal of Mathematics. Springer.https://doi.org/10.1007/s11856-017-1607-7 
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Sun, W., Zhai, M.-Z., Zhou, Q., Qian, C., &; Jiang, C. (2017). Effects of B vitamins overload on plasma insulin level and hydrogen peroxide generation in rats. Chinese Journal of Physiology. Chinese Physiological Society.https://doi.org/10.4077/CJP.2017.BAF469 
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Martius, G. S., &; Lampert, C. (2017). Extrapolation and learning equations. In 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. Toulon, France: International Conference on Learning Representations.
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Edelsbrunner, H., &; Wagner, H. (2017). Topological data analysis with Bregman divergences (Vol. 77, pp. 391–3916). Presented at the Symposium on Computational Geometry, SoCG, Brisbane, Australia: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.SoCG.2017.39 
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Brailoiu, G., Deliu, E., Barr, J., Console Bram, L., Ciuciu, A., Abood, M.,https://doi.org/10.1016/j.drugalcdep.2017.04.015__Breiloiu, E. (2017). HIV Tat exciteshttps://doi.org/10.1016/j.drugalcdep.2017.04.015__receptor-like expressing neurons from rat nucleus accumbens. Drug and Alcohol Dependence. Elsevier.https://doi.org/10.1016/j.drugalcdep.2017.04.015 
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Chalk, M. J., Masset, P., Gutkin, B., &; Denève, S. (2017). Sensory noise predicts divisive reshaping of receptive fields. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005582 
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Zilberman, D. (2017). An evolutionary case for functional gene body methylation in plants and animals. Genome Biology. Springer Nature.https://doi.org/10.1186/s13059-017-1230-2 
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Riccio, P., Cebrián, C., Zong, H., Hippenmeyer, S., &; Costantini, F. (2017). Data from: Ret and Et promote directed movements of progenitor cells during renal branching morphogenesis. Dryad.https://doi.org/10.5061/dryad.pk16b 
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Pavlogiannis, A. (2017). Algorithmic advances in program analysis and their applications. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_854 
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