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182 Publications

2017 | Journal Article | IST-REx-ID: 959 | OA
D. De Martino, “Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics,” Physical Review E Statistical Nonlinear and Soft Matter Physics , vol. 95, no. 6. American Institute of Physics, p. 062419, 2017.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
2017 | Journal Article | IST-REx-ID: 947 | OA
D. De Martino, F. Capuani, and A. De Martino, “Quantifying the entropic cost of cellular growth control,” Physical Review E Statistical Nonlinear and Soft Matter Physics , vol. 96, no. 1. American Institute of Physics, 2017.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
2017 | Journal Article | IST-REx-ID: 943 | OA
M. P. Zagórski et al., “Decoding of position in the developing neural tube from antiparallel morphogen gradients,” Science, vol. 356, no. 6345. American Association for the Advancement of Science, pp. 1379–1383, 2017.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | PubMed | Europe PMC
 
2017 | Journal Article | IST-REx-ID: 823 | OA
S. Colabrese, D. De Martino, L. Leuzzi, and E. Marinari, “Phase transitions in integer linear problems,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2017, no. 9. IOPscience, 2017.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
2017 | Journal Article | IST-REx-ID: 730
C. Savin and G. Tkačik, “Maximum entropy models as a tool for building precise neural controls,” Current Opinion in Neurobiology, vol. 46. Elsevier, pp. 120–126, 2017.
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