De Martino, Daniele, Fabrizio Capuani, and Andrea De Martino. “Quantifying the Entropic Cost of Cellular Growth Control.”https://doi.org/10.1103/PhysRevE.96.010401__https://doi.org/10.1103/PhysRevE.96.010401__Physical Review E Statistical Nonlinear and Soft Matter Physics . American Institute of Physics, 2017.https://doi.org/10.1103/PhysRevE.96.010401 .
LibreCat: https://research-explorer.ista.ac.at/record/947
DOI: 10.1103/PhysRevE.96.010401
WoS: 000405194200002

Zagórski, Marcin P, Yoji Tabata, Nathalie Brandenberg, Matthias Lutolf, Gasper Tkadik, Tobias Bollenbach, James Briscoe, and Anna Kicheva. “Decoding of Position in the Developing Neural Tube from Antiparallel Morphogen Gradients.”https://doi.org/10.1126/science.aam5887__Science. American Association for the Advancement of Science, 2017.https://doi.org/10.1126/science.aam5887 .
LibreCat: https://research-explorer.ista.ac.at/record/943
DOI: 10.1126/science.aam5887
WoS: 000404351500036
PMID: 28663499

Colabrese, Simona, Daniele De Martino, Luca Leuzzi, and Enzo Marinari. “Phase Transitions in Integer Linear Problems.”https://doi.org/10.1088/1742-5468/aa85c3__https://doi.org/10.1088/1742-5468/aa85c3__Journal of Statistical Mechanics: Theory and Experiment. IOPscience, 2017.https://doi.org/10.1088/1742-5468/aa85c3 .
LibreCat: https://research-explorer.ista.ac.at/record/823
DOI: 10.1088/1742-5468/aa85c3
WoS: 000411842900001

Savin, Cristina, and Gasper Tkadik. “Maximum Entropy Models as a Tool for Building Precise Neural Controls.”https://doi.org/10.1016/j.conb.2017.08.001__Current Opinion in Neurobiology. Elsevier, 2017.https://doi.org/10.1016/j.conb.2017.08.001 .
LibreCat: https://research-explorer.ista.ac.at/record/730
DOI: 10.1016/j.conb.2017.08.001
WoS: 000416196400016

De Martino, Daniele. “Maximum Entropy Modeling of Metabolic Networks by Constraining Growth-Rate Moments Predicts Coexistence of Phenotypes.”https://doi.org/10.1103/PhysRevE.96.060401__Physical Review E. American Physical Society, 2017.https://doi.org/10.1103/PhysRevE.96.060401 .
LibreCat: https://research-explorer.ista.ac.at/record/548
DOI: 10.1103/PhysRevE.96.060401