Daniele De Martino

Tkacik Group

13 Publications

Mark all

[13]
2023 | Journal Article | IST-REx-ID: 12762 | OA
Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain
F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, D. De Martino, Nature Computational Science 3 (2023) 254–263.
[Published Version] View | Files available | DOI | arXiv
 
[12]
2019 | Journal Article | IST-REx-ID: 6049 | OA
Feedback-induced self-oscillations in large interacting systems subjected to phase transitions
D. De Martino, Journal of Physics A: Mathematical and Theoretical 52 (2019).
[Published Version] View | Files available | DOI | WoS
 
[11]
2018 | Journal Article | IST-REx-ID: 306 | OA
An introduction to the maximum entropy approach and its application to inference problems in biology
A. De Martino, D. De Martino, Heliyon 4 (2018).
[Published Version] View | Files available | DOI
 
[10]
2018 | Journal Article | IST-REx-ID: 161 | OA
Statistical mechanics for metabolic networks during steady state growth
D. De Martino, A.A. Mc, T. Bergmiller, C.C. Guet, G. Tkačik, Nature Communications 9 (2018).
[Published Version] View | Files available | DOI | WoS
 
[9]
2018 | Research Data | IST-REx-ID: 5587 | OA
Supporting materials "STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH"
D. De Martino, G. Tkačik, (2018).
[Published Version] View | Files available | DOI
 
[8]
2017 | Journal Article | IST-REx-ID: 959 | OA
Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics
D. De Martino, Physical Review E Statistical Nonlinear and Soft Matter Physics 95 (2017) 062419.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[7]
2017 | Journal Article | IST-REx-ID: 947 | OA
Quantifying the entropic cost of cellular growth control
D. De Martino, F. Capuani, A. De Martino, Physical Review E Statistical Nonlinear and Soft Matter Physics 96 (2017).
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[6]
2017 | Journal Article | IST-REx-ID: 823 | OA
Phase transitions in integer linear problems
S. Colabrese, D. De Martino, L. Leuzzi, E. Marinari, Journal of Statistical Mechanics: Theory and Experiment 2017 (2017).
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[5]
2017 | Journal Article | IST-REx-ID: 548 | OA
Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes
D. De Martino, Physical Review E 96 (2017).
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[4]
2016 | Journal Article | IST-REx-ID: 1188 | OA
Asymptotic analysis of noisy fitness maximization, applied to metabolism & growth
D. De Martino, D. Masoero, Journal of Statistical Mechanics: Theory and Experiment 2016 (2016).
[Preprint] View | DOI | Download Preprint (ext.)
 
[3]
2016 | Journal Article | IST-REx-ID: 1260 | OA
The dual of the space of interactions in neural network models
D. De Martino, International Journal of Modern Physics C 27 (2016).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[2]
2016 | Journal Article | IST-REx-ID: 1394 | OA
Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli
D. De Martino, F. Capuani, A. De Martino, Physical Biology 13 (2016).
[Preprint] View | DOI | Download Preprint (ext.)
 
[1]
2016 | Journal Article | IST-REx-ID: 1485 | OA
Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis
D. De Martino, Physical Biology 13 (2016).
[Preprint] View | DOI | Download Preprint (ext.)
 
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13 Publications

Mark all

[13]
2023 | Journal Article | IST-REx-ID: 12762 | OA
Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain
F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, D. De Martino, Nature Computational Science 3 (2023) 254–263.
[Published Version] View | Files available | DOI | arXiv
 
[12]
2019 | Journal Article | IST-REx-ID: 6049 | OA
Feedback-induced self-oscillations in large interacting systems subjected to phase transitions
D. De Martino, Journal of Physics A: Mathematical and Theoretical 52 (2019).
[Published Version] View | Files available | DOI | WoS
 
[11]
2018 | Journal Article | IST-REx-ID: 306 | OA
An introduction to the maximum entropy approach and its application to inference problems in biology
A. De Martino, D. De Martino, Heliyon 4 (2018).
[Published Version] View | Files available | DOI
 
[10]
2018 | Journal Article | IST-REx-ID: 161 | OA
Statistical mechanics for metabolic networks during steady state growth
D. De Martino, A.A. Mc, T. Bergmiller, C.C. Guet, G. Tkačik, Nature Communications 9 (2018).
[Published Version] View | Files available | DOI | WoS
 
[9]
2018 | Research Data | IST-REx-ID: 5587 | OA
Supporting materials "STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH"
D. De Martino, G. Tkačik, (2018).
[Published Version] View | Files available | DOI
 
[8]
2017 | Journal Article | IST-REx-ID: 959 | OA
Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics
D. De Martino, Physical Review E Statistical Nonlinear and Soft Matter Physics 95 (2017) 062419.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[7]
2017 | Journal Article | IST-REx-ID: 947 | OA
Quantifying the entropic cost of cellular growth control
D. De Martino, F. Capuani, A. De Martino, Physical Review E Statistical Nonlinear and Soft Matter Physics 96 (2017).
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[6]
2017 | Journal Article | IST-REx-ID: 823 | OA
Phase transitions in integer linear problems
S. Colabrese, D. De Martino, L. Leuzzi, E. Marinari, Journal of Statistical Mechanics: Theory and Experiment 2017 (2017).
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[5]
2017 | Journal Article | IST-REx-ID: 548 | OA
Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes
D. De Martino, Physical Review E 96 (2017).
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[4]
2016 | Journal Article | IST-REx-ID: 1188 | OA
Asymptotic analysis of noisy fitness maximization, applied to metabolism & growth
D. De Martino, D. Masoero, Journal of Statistical Mechanics: Theory and Experiment 2016 (2016).
[Preprint] View | DOI | Download Preprint (ext.)
 
[3]
2016 | Journal Article | IST-REx-ID: 1260 | OA
The dual of the space of interactions in neural network models
D. De Martino, International Journal of Modern Physics C 27 (2016).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[2]
2016 | Journal Article | IST-REx-ID: 1394 | OA
Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli
D. De Martino, F. Capuani, A. De Martino, Physical Biology 13 (2016).
[Preprint] View | DOI | Download Preprint (ext.)
 
[1]
2016 | Journal Article | IST-REx-ID: 1485 | OA
Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis
D. De Martino, Physical Biology 13 (2016).
[Preprint] View | DOI | Download Preprint (ext.)
 
Marked Publication(s)

Search

Filter Publications

    • Display / Sort

    Citation Style: Default

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