1.6k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Politecnico di TorinoIT83 papers
- Collegio Carlo AlbertoIT36 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT27 papers
- Sapienza University of RomeIT21 papers
- Centre National de la Recherche ScientifiqueFR19 papers
- Istituto di NanotecnologiaIT19 papers
- National Research CouncilLK16 papers
- Sorbonne UniversitéFR14 papers
- Biologie Computationnelle, Quantitative et SynthétiqueFR12 papers
- École Normale Supérieure - PSLFR10 papers
- Institut de Biologie Paris-SeineFR9 papers
- Istituto Nazionale di Fisica NucleareIT9 papers
12 papers · 1 filter
The cavity approach for Steiner trees packing problems
Alfredo Braunstein, Anna Paola Muntoni
The Belief Propagation approximation, or cavity method, has been recently applied to several combinatorial optimization problems in its zero-temperature implementation, the max-sum…
Initial cell density encodes proliferative potential in cancer cell populations
Chiara Enrico Bena, Marco Del Giudice, Alice Grob +8
Individual cells exhibit specific proliferative responses to changes in microenvironmental conditions. Whether such potential is constrained by the cell density throughout the grow…
On the role of synaptic stochasticity in training low-precision neural networks
Carlo Baldassi, Federica Gerace, Hilbert J. Kappen +4
Stochasticity and limited precision of synaptic weights in neural network models are key aspects of both biological and hardware modeling of learning processes. Here we show that a…
Statistics of optimal information flow in ensembles of regulatory motifs
Andrea Crisanti, Andrea De Martino, Jonathan Fiorentino
Genetic regulatory circuits universally cope with different sources of noise that limit their ability to coordinate input and output signals. In many cases, optimal regulatory perf…
Improved Pseudolikelihood Regularization and Decimation methods on Non-linearly Interacting Systems with Continuous Variables
Alessia Marruzzo, Payal Tyagi, Fabrizio Antenucci +2
We propose and test improvements to state-of-the-art techniques of Bayeasian statistical inference based on pseudolikelihood maximization with regularization and with deci…
Loop expansion around the Bethe approximation through the -layer construction
Ada Altieri, Maria Chiara Angelini, Carlo Lucibello +3
For every physical model defined on a generic graph or factor graph, the Bethe -layer construction allows building a different model for which the Bethe approximation is exact i…
Constraint-based inverse modeling of metabolic networks: a proof of concept
Daniele De Martino, Andrea De Martino
We consider the problem of inferring the probability distribution of flux configurations in metabolic network models from empirical flux data. For the simple case in which experime…
ceRNA crosstalk stabilizes protein expression and affects the correlation pattern of interacting proteins
Araks Martirosyan, Andrea De Martino, Andrea Pagnani +1
Gene expression is a noisy process and several mechanisms, both transcriptional and posttranscriptional, can stabilize protein levels in cells. Much work has focused on the role of…
Quantifying the entropic cost of cellular growth control
Daniele De Martino, Fabrizio Capuani, Andrea De Martino
We quantify the amount of regulation required to control growth in living cells by a Maximum Entropy approach to the space of underlying metabolic states described by genome-scale…
An analytic approximation of the feasible space of metabolic networks
Alfredo Braunstein, Anna Paola Muntoni, Andrea Pagnani
Assuming a steady-state condition within a cell, metabolic fluxes satisfy an under-determined linear system of stoichiometric equations. Characterizing the space of fluxes that sat…
Translating ceRNA susceptibilities into correlation functions
Araks Martirosyan, Matteo Marsili, Andrea De Martino
Competition to bind microRNAs induces an effective positive crosstalk between their targets, therefore known as `competing endogenous RNAs' or ceRNAs. While such an effect is known…
Microenvironmental cooperation promotes early spread and bistability of a Warburg-like phenotype
Jorge Fernandez-de-Cossio-Diaz, Andrea De Martino, Roberto Mulet
We introduce an in silico model for the initial spread of an aberrant phenotype with Warburg-like overflow metabolism within a healthy homeostatic tissue in contact with a nutrient…