12 Publications

Mark all

[12]
2019 | Journal Article | IST-REx-ID: 6049   OA
De Martino, Daniele. “Feedback-Induced Self-Oscillations in Large Interacting Systems Subjected to Phase Transitions.” Journal of Physics A: Mathematical and Theoretical, vol. 52, no. 4, IOP Publishing, 2019, p. 045002, doi:10.1088/1751-8121/aaf2dd.
View | Files available | DOI
 
[11]
2018 | Research Data | IST-REx-ID: 5587   OA
De Martino, Daniele, and Gasper Tkacik. Supporting Materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” IST Austria, 2018, doi:10.15479/AT:ISTA:62.
View | Files available | DOI
 
[10]
2018 | Journal Article | IST-REx-ID: 306   OA
De Martino, Andrea, and Daniele De Martino. “An Introduction to the Maximum Entropy Approach and Its Application to Inference Problems in Biology.” Heliyon, vol. 4, no. 4, e00596, Elsevier, 2018, doi:10.1016/j.heliyon.2018.e00596.
View | Files available | DOI
 
[9]
2018 | Journal Article | IST-REx-ID: 161
De Martino, Daniele, et al. “Statistical Mechanics for Metabolic Networks during Steady State Growth.” Nature Communications, vol. 9, no. 1, Springer Nature, 2018, p. 2988, doi:10.1038/s41467-018-05417-9.
View | Files available | DOI
 
[8]
2017 | Journal Article | IST-REx-ID: 548   OA
De Martino, Daniele. “Maximum Entropy Modeling of Metabolic Networks by Constraining Growth-Rate Moments Predicts Coexistence of Phenotypes.” Physical Review E, vol. 96, no. 6, 060401, American Physiological Society, 2017, doi:10.1103/PhysRevE.96.060401.
View | DOI | Download (ext.)
 
[7]
2017 | Journal Article | IST-REx-ID: 947   OA
De Martino, Daniele, et al. “Quantifying the Entropic Cost of Cellular Growth Control.” Physical Review E Statistical Nonlinear and Soft Matter Physics , vol. 96, no. 1, 010401, American Institute of Physics, 2017, doi:10.1103/PhysRevE.96.010401.
View | DOI | Download (ext.)
 
[6]
2017 | Journal Article | IST-REx-ID: 959   OA
De Martino, Daniele. “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, 2017, p. 062419, doi:10.1103/PhysRevE.95.062419.
View | DOI | Download (ext.)
 
[5]
2017 | Journal Article | IST-REx-ID: 823   OA
Colabrese, Simona, et al. “Phase Transitions in Integer Linear Problems.” Journal of Statistical Mechanics: Theory and Experiment, vol. 2017, no. 9, 093404, IOPscience, 2017, doi:10.1088/1742-5468/aa85c3.
View | DOI | Download (ext.)
 
[4]
2016 | Journal Article | IST-REx-ID: 1394   OA
De Martino, Daniele, et al. “Growth against Entropy in Bacterial Metabolism: The Phenotypic Trade-off behind Empirical Growth Rate Distributions in E. Coli.” Physical Biology, vol. 13, no. 3, 036005, IOP Publishing Ltd., 2016, doi:10.1088/1478-3975/13/3/036005.
View | DOI | Download (ext.)
 
[3]
2016 | Journal Article | IST-REx-ID: 1485   OA
De Martino, Daniele. “Genome-Scale Estimate of the Metabolic Turnover of E. Coli from the Energy Balance Analysis.” Physical Biology, vol. 13, no. 1, 016003, IOP Publishing Ltd., 2016, doi:10.1088/1478-3975/13/1/016003.
View | DOI | Download (ext.)
 
[2]
2016 | Journal Article | IST-REx-ID: 1188   OA
De Martino, Daniele, and Davide Masoero. “Asymptotic Analysis of Noisy Fitness Maximization, Applied to Metabolism & Growth.” Journal of Statistical Mechanics: Theory and Experiment, vol. 2016, no. 12, IOPscience, 2016, p. 123502, doi:10.1088/1742-5468/aa4e8f.
View | DOI | Download (ext.)
 
[1]
2016 | Journal Article | IST-REx-ID: 1260   OA
De Martino, Daniele. “The Dual of the Space of Interactions in Neural Network Models.” International Journal of Modern Physics C, vol. 27, no. 6, 1650067, World Scientific Publishing, 2016, doi:10.1142/S0129183116500674.
View | DOI | Download (ext.)
 

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12 Publications

Mark all

[12]
2019 | Journal Article | IST-REx-ID: 6049   OA
De Martino, Daniele. “Feedback-Induced Self-Oscillations in Large Interacting Systems Subjected to Phase Transitions.” Journal of Physics A: Mathematical and Theoretical, vol. 52, no. 4, IOP Publishing, 2019, p. 045002, doi:10.1088/1751-8121/aaf2dd.
View | Files available | DOI
 
[11]
2018 | Research Data | IST-REx-ID: 5587   OA
De Martino, Daniele, and Gasper Tkacik. Supporting Materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” IST Austria, 2018, doi:10.15479/AT:ISTA:62.
View | Files available | DOI
 
[10]
2018 | Journal Article | IST-REx-ID: 306   OA
De Martino, Andrea, and Daniele De Martino. “An Introduction to the Maximum Entropy Approach and Its Application to Inference Problems in Biology.” Heliyon, vol. 4, no. 4, e00596, Elsevier, 2018, doi:10.1016/j.heliyon.2018.e00596.
View | Files available | DOI
 
[9]
2018 | Journal Article | IST-REx-ID: 161
De Martino, Daniele, et al. “Statistical Mechanics for Metabolic Networks during Steady State Growth.” Nature Communications, vol. 9, no. 1, Springer Nature, 2018, p. 2988, doi:10.1038/s41467-018-05417-9.
View | Files available | DOI
 
[8]
2017 | Journal Article | IST-REx-ID: 548   OA
De Martino, Daniele. “Maximum Entropy Modeling of Metabolic Networks by Constraining Growth-Rate Moments Predicts Coexistence of Phenotypes.” Physical Review E, vol. 96, no. 6, 060401, American Physiological Society, 2017, doi:10.1103/PhysRevE.96.060401.
View | DOI | Download (ext.)
 
[7]
2017 | Journal Article | IST-REx-ID: 947   OA
De Martino, Daniele, et al. “Quantifying the Entropic Cost of Cellular Growth Control.” Physical Review E Statistical Nonlinear and Soft Matter Physics , vol. 96, no. 1, 010401, American Institute of Physics, 2017, doi:10.1103/PhysRevE.96.010401.
View | DOI | Download (ext.)
 
[6]
2017 | Journal Article | IST-REx-ID: 959   OA
De Martino, Daniele. “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, 2017, p. 062419, doi:10.1103/PhysRevE.95.062419.
View | DOI | Download (ext.)
 
[5]
2017 | Journal Article | IST-REx-ID: 823   OA
Colabrese, Simona, et al. “Phase Transitions in Integer Linear Problems.” Journal of Statistical Mechanics: Theory and Experiment, vol. 2017, no. 9, 093404, IOPscience, 2017, doi:10.1088/1742-5468/aa85c3.
View | DOI | Download (ext.)
 
[4]
2016 | Journal Article | IST-REx-ID: 1394   OA
De Martino, Daniele, et al. “Growth against Entropy in Bacterial Metabolism: The Phenotypic Trade-off behind Empirical Growth Rate Distributions in E. Coli.” Physical Biology, vol. 13, no. 3, 036005, IOP Publishing Ltd., 2016, doi:10.1088/1478-3975/13/3/036005.
View | DOI | Download (ext.)
 
[3]
2016 | Journal Article | IST-REx-ID: 1485   OA
De Martino, Daniele. “Genome-Scale Estimate of the Metabolic Turnover of E. Coli from the Energy Balance Analysis.” Physical Biology, vol. 13, no. 1, 016003, IOP Publishing Ltd., 2016, doi:10.1088/1478-3975/13/1/016003.
View | DOI | Download (ext.)
 
[2]
2016 | Journal Article | IST-REx-ID: 1188   OA
De Martino, Daniele, and Davide Masoero. “Asymptotic Analysis of Noisy Fitness Maximization, Applied to Metabolism & Growth.” Journal of Statistical Mechanics: Theory and Experiment, vol. 2016, no. 12, IOPscience, 2016, p. 123502, doi:10.1088/1742-5468/aa4e8f.
View | DOI | Download (ext.)
 
[1]
2016 | Journal Article | IST-REx-ID: 1260   OA
De Martino, Daniele. “The Dual of the Space of Interactions in Neural Network Models.” International Journal of Modern Physics C, vol. 27, no. 6, 1650067, World Scientific Publishing, 2016, doi:10.1142/S0129183116500674.
View | DOI | Download (ext.)
 

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Citation Style: MLA

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