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20102026
most citedDirect-coupling analysis of residue co-evolution captures native contacts across many protein families

1.6k citations

Showing 2018Show all

9 papers · 1 filter

cond-mat.stat-mech2018★ 11 cited

Optimality in self-organized molecular sorting

Marco Zamparo, Donatella Valdembri, Guido Serini +4

We introduce a simple physical picture to explain the process of molecular sorting, whereby specific proteins are concentrated and distilled into submicrometric lipid vesicles in e…

cond-mat.stat-mech2018★ 4 cited

Loop corrections in spin models through density consistency

Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta

Computing marginal distributions of discrete or semidiscrete Markov random fields (MRFs) is a fundamental, generally intractable problem with a vast number of applications in virtu…

eess.IV2018★ 4 cited

Non-convex image reconstruction via Expectation Propagation

Anna Paola Muntoni, Rafael Díaz Hernández Rojas, Alfredo Braunstein +2

Tomographic image reconstruction can be mapped to a problem of finding solutions to a large system of linear equations which maximize a function that includes \textit{a priori} kno…

q-bio.PE2018★ 22 cited

Exploration-exploitation tradeoffs dictate the optimal distributions of phenotypes for populations subject to fitness fluctuations

Andrea De Martino, Thomas Gueudré, Mattia Miotto

We study a minimal model for the growth of a phenotypically heterogeneous population of cells subject to a fluctuating environment in which they can replicate (by exploiting availa…

q-bio.MN2018★ 27 cited

Maximum entropy and population heterogeneity in continuous cell cultures

Jorge Fernandez-de-Cossio-Diaz, Roberto Mulet

Continuous cultures of mammalian cells are complex systems displaying hallmark phenomena of nonlinear dynamics, such as multi-stability, hysteresis, as well as sharp transitions be…

cond-mat.dis-nn2018★ 7 cited

From statistical inference to a differential learning rule for stochastic neural networks

Luca Saglietti, Federica Gerace, Alessandro Ingrosso +2

Stochastic neural networks are a prototypical computational device able to build a probabilistic representation of an ensemble of external stimuli. Building on the relationship bet…

q-bio.MN2018★ 16 cited

Cell population heterogeneity driven by stochastic partition and growth optimality

Jorge Fernandez-de-Cossio-Diaz, Roberto Mulet, Alexei Vazquez

A fundamental question in biology is how cell populations evolve into different subtypes based on homogeneous processes at the single cell level. Here we show that population bimod…

math-ph2018★ 6 cited

On the Mean Residence Time in Stochastic Lattice-Gas Models

Marco Zamparo, Luca Dall'Asta, Andrea Gamba

A heuristic law widely used in fluid dynamics for steady flows states that the amount of a fluid in a control volume is the product of the fluid influx and the mean time that the p…

cond-mat.dis-nn2018★ 3 cited

The Random Fractional Matching Problem

Carlo Lucibello, Enrico M. Malatesta, Giorgio Parisi +1

We consider two formulations of the random-link fractional matching problem, a relaxed version of the more standard random-link (integer) matching problem. In one formulation, we a…