Inverse statistical problems: from the inverse Ising problem to data science

HC Nguyen, R Zecchina, J Berg - Advances in Physics, 2017 - Taylor & Francis
Inverse problems in statistical physics are motivated by the challenges of 'big data'in
different fields, in particular high-throughput experiments in biology. In inverse problems, the …

Inverse statistical physics of protein sequences: a key issues review

S Cocco, C Feinauer, M Figliuzzi… - Reports on Progress …, 2018 - iopscience.iop.org
In the course of evolution, proteins undergo important changes in their amino acid
sequences, while their three-dimensional folded structure and their biological function …

Decomposing the local arrow of time in interacting systems

CW Lynn, CM Holmes, W Bialek, DJ Schwab - Physical review letters, 2022 - APS
We show that the evidence for a local arrow of time, which is equivalent to the entropy
production in thermodynamic systems, can be decomposed. In a system with many degrees …

The physics of flocking: Correlation as a compass from experiments to theory

A Cavagna, I Giardina, TS Grigera - Physics Reports, 2018 - Elsevier
Collective behavior in biological systems is a complex topic, to say the least. It runs wildly
across scales in both space and time, involving taxonomically vastly different organisms …

Flocking and turning: a new model for self-organized collective motion

A Cavagna, L Del Castello, I Giardina, T Grigera… - Journal of Statistical …, 2015 - Springer
Birds in a flock move in a correlated way, resulting in large polarization of velocities. A good
understanding of this collective behavior exists for linear motion of the flock. Yet observing …

Scale-free correlations and potential criticality in weakly ordered populations of brain cancer cells

KB Wood, A Comba, S Motsch, TS Grigera… - Science …, 2023 - science.org
Collective behavior spans several orders of magnitude of biological organization, from cell
colonies to flocks of birds. We used time-resolved tracking of individual glioblastoma cells to …

An introduction to the maximum entropy approach and its application to inference problems in biology

A De Martino, D De Martino - Heliyon, 2018 - cell.com
A cornerstone of statistical inference, the maximum entropy framework is being increasingly
applied to construct descriptive and predictive models of biological systems, especially …

Local equilibrium in bird flocks

T Mora, AM Walczak, L Del Castello, F Ginelli… - Nature physics, 2016 - nature.com
The correlated motion of flocks is an example of global order emerging from local
interactions. An essential difference with respect to analogous ferromagnetic systems is that …

The maximum caliber variational principle for nonequilibria

K Ghosh, PD Dixit, L Agozzino… - Annual review of physical …, 2020 - annualreviews.org
Ever since Clausius in 1865 and Boltzmann in 1877, the concepts of entropy and of its
maximization have been the foundations for predicting how material equilibria derive from …

Fluctuating fitness shapes the clone-size distribution of immune repertoires

J Desponds, T Mora… - Proceedings of the …, 2016 - National Acad Sciences
The adaptive immune system relies on the diversity of receptors expressed on the surface of
B-and T cells to protect the organism from a vast amount of pathogenic threats. The …