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

1.6k citations

Showing 2020Show all

5 papers · 1 filter

q-bio.BM2020★ 30 cited

Sparse generative modeling via parameter-reduction of Boltzmann machines: application to protein-sequence families

Pierre Barrat-Charlaix, Anna Paola Muntoni, Kai Shimagaki +2

Boltzmann machines (BM) are widely used as generative models. For example, pairwise Potts models (PM), which are instances of the BM class, provide accurate statistical models of f…

cond-mat.stat-mech2020★ 4 cited

A Density Consistency approach to the inverse Ising problem

Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta +1

We propose a novel approach to the inverse Ising problem which employs the recently introduced Density Consistency approximation (DC) to determine the model parameters (couplings a…

q-bio.PE2020★ 31 cited

Epidemic mitigation by statistical inference from contact tracing data

Antoine Baker, Indaco Biazzo, Alfredo Braunstein +10

Contact-tracing is an essential tool in order to mitigate the impact of pandemic such as the COVID-19. In order to achieve efficient and scalable contact-tracing in real time, digi…

stat.ML2020

Expectation propagation on the diluted Bayesian classifier

Alfredo Braunstein, Thomas Gueudré, Andrea Pagnani +1

Efficient feature selection from high-dimensional datasets is a very important challenge in many data-driven fields of science and engineering. We introduce a statistical mechanics…

q-bio.QM2020★ 20 cited

Aligning biological sequences by exploiting residue conservation and coevolution

Anna Paola Muntoni, Andrea Pagnani, Martin Weigt +1

Sequences of nucleotides (for DNA and RNA) or amino acids (for proteins) are central objects in biology. Among the most important computational problems is that of sequence alignme…