_id,doi,title
12762,10.1038/s43588-023-00410-9,Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain
6049,10.1088/1751-8121/aaf2dd,Feedback-induced self-oscillations in large interacting systems subjected to phase transitions
306,10.1016/j.heliyon.2018.e00596,An introduction to the maximum entropy approach and its application to inference problems in biology
5587,10.15479/AT:ISTA:62,"Supporting materials ""STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH"""
161,10.1038/s41467-018-05417-9,Statistical mechanics for metabolic networks during steady state growth
823,10.1088/1742-5468/aa85c3,Phase transitions in integer linear problems
548,10.1103/PhysRevE.96.060401,Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes
947,10.1103/PhysRevE.96.010401,Quantifying the entropic cost of cellular growth control
959,10.1103/PhysRevE.95.062419,Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics
1485,10.1088/1478-3975/13/1/016003,Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis
1394,10.1088/1478-3975/13/3/036005,Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli
1188,10.1088/1742-5468/aa4e8f,"Asymptotic analysis of noisy fitness maximization, applied to metabolism & growth"
1260,10.1142/S0129183116500674,The dual of the space of interactions in neural network models