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2016 | Journal Article | IST-REx-ID: 1151 |
S. Simonini et al., “A noncanonical auxin sensing mechanism is required for organ morphogenesis in arabidopsis,” Genes and Development, vol. 30, no. 20. Cold Spring Harbor Laboratory Press, pp. 2286–2296, 2016.View | Files available | DOI | PubMed | Europe PMC
2016 | Journal Article | IST-REx-ID: 1157 |
J. Lee and K. Schnelli, “Tracy-widom distribution for the largest eigenvalue of real sample covariance matrices with general population,” Annals of Applied Probability, vol. 26, no. 6. Institute of Mathematical Statistics, pp. 3786–3839, 2016.View | DOI | Download Preprint (ext.)
2016 | Journal Article | IST-REx-ID: 1171
G. Tkačik, “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, vol. 17. Elsevier, pp. 166–167, 2016.View | DOI
2016 | Journal Article | IST-REx-ID: 1181
N. Dwyer, B. Chen, S. Chou, S. Hippenmeyer, L. Nguyen, and T. Ghashghaei, “Neural stem cells to cerebral cortex: Emerging mechanisms regulating progenitor behavior and productivity,” Journal of Neuroscience, vol. 36, no. 45. Society for Neuroscience, pp. 11394–11401, 2016.View | DOI
2016 | Conference Paper | IST-REx-ID: 1182 |
K. Chatterjee, R. Ibsen-Jensen, and J. Tkadlec, “Robust draws in balanced knockout tournaments,” presented at the IJCAI: International Joint Conference on Artificial Intelligence, New York, NY, USA, 2016, vol. 2016–January, pp. 172–179.View | Files available | Download Preprint (ext.)
2016 | Journal Article | IST-REx-ID: 1186 |
J. Gutierrez-Fernandez et al., “Modular architecture and unique teichoic acid recognition features of choline-binding protein L CbpL contributing to pneumococcal pathogenesis,” Scientific Reports, vol. 6. Nature Publishing Group, 2016.View | Files available | DOI
2016 | Journal Article | IST-REx-ID: 1200 |
C. Hilbe and A. Traulsen, “Only the combination of mathematics and agent based simulations can leverage the full potential of evolutionary modeling: Comment on ‘Evolutionary game theory using agent-based methods’ by C. Adami, J. Schossau and A. Hintze,” Physics of Life Reviews, vol. 19. Elsevier, pp. 29–31, 2016.View | Files available | DOI