•Axe Physique statistique

Physique Statistique et Inférence pour la Biologie

Publications

Physique Statistique et Inférence pour la Biologie

1 Online characterization of the retinal network
Baptiste Lefebvre
2020 - -THESE-

2 Population variability in the generation and thymic selection of T-cell repertoires
Zachary Sethna, Giulio Isacchini, Thomas Dupic, Thierry Mora, Aleksandra Walczak, Yuval Elhanati
2020 - PLoS Computational Biology

3 A self-consistent probabilistic formulation for inference of interactions
Jorge Fernandez-De-Cossio, Jorge Fernandez-De-Cossio-Diaz, Yasser Perera-Negrin
2020 - Scientific Reports

4 A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons
Gabriel Mahuas, Giulio Isacchini, Olivier Marre, Ulisse Ferrari, Thierry Mora
2020 -

5 Modélisation et inférence Bayésienne pour la maturation d'affinité des anticorps
Marco Molari
2020 - -THESE-

6 Low-dimensional continuous attractors in recurrent neural networks : from statistical physics to computational neuroscience
Aldo Battista
2020 - -THESE-

7 Learning the heterogeneous hypermutation landscape of immunoglobulins from high-throughput repertoire data
Natanael Spisak, Aleksandra Walczak, Thierry Mora
2020 - Nucleic Acids Research

8 SOS: online probability estimation and generation of T-and B-cell receptors
Giulio Isacchini, Carlos Olivares, Armita Nourmohammad, Aleksandra Walczak, Thierry Mora
2020 - Bioinformatics

9 A mechanism for hunchback promoters to readout morphogenetic positional information in less than a minute
Jonathan Desponds, Massimo Vergassola, Aleksandra Walczak
2020 - eLife

10 Unsupervised Inference of Protein Fitness Landscape from Deep Mutational Scan
Jorge Fernandez-De-Cossio-Diaz, Guido Uguzzoni, Andrea Pagnani
2020 - Molecular Biology and Evolution

11 Blind deconvolution for spike inference from fluorescence recordings
Jérôme Tubiana, Sébastien Wolf, Thomas Panier, Georges Debregeas
2020 - Journal of Neuroscience Methods

12 An evolution-based model for designing chorismate mutase enzymes
William P Russ, Matteo Figliuzzi, Christian Stocker, Pierre Barrat-Charlaix, Michael Socolich, Peter Kast, Donald Hilvert, Remi Monasson, Simona Cocco, Martin Weigt, Rama Ranganathan
2020 - Science

13 Building General Langevin Models from Discrete Datasets
Federica Ferretti, Victor Chardès, Thierry Mora, Aleksandra Walczak, Irene Giardina
2020 - Physical Review X

14 Quantitative modeling of the effect of antigen dosage on B-cell affinity distributions in maturating germinal centers
Marco Molari, Klaus Eyer, Jean Baudry, Simona Cocco, Remi Monasson
2020 - eLife

15 Generative models of T-cell receptor sequences
Giulio Isacchini, Zachary Sethna, Yuval Elhanati, Armita Nourmohammad, Aleksandra Walczak, Thierry Mora
2020 - Physical Review E

16 Spectrum of multispace Euclidean random matrices
Aldo Battista, Remi Monasson
2020 - Physical Review E

17 Place-cell' emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space
Moshir Harsh, Jérôme Tubiana, Simona Cocco, Rémi Monasson
2020 - Journal of Physics A: Mathematical and Theoretical

18 Primary and secondary anti-viral response captured by the dynamics and phenotype of individual T cell clones
Anastasia Minervina, Mikhail Pogorelyy, Ekaterina Komech, Vadim Karnaukhov, Petra Bacher, Elisa Rosati, Andre Franke, Dmitriy Chudakov, Ilgar Mamedov, Yuri Lebedev, Thierry Mora, Aleksandra M Walczak
2020 - eLife

19 Rapport de conjoncture 2019 : CID 51 Modélisation mathématique, informatique et physique pour les sciences du vivant
Franck Picard, Myriam Ferro, Alice Cleynen, Marie Doumic, Xavier Duchemin, Guillaume Fertin, Jonathan Filee, Philippe Juin, Romain Koszul, Rafael Laboissiere, Dominique Lavenier, Thérèse Malliavin, Antonio Monari, Isabelle Nondier, Françoise Peyrin, Pierre Pouget, David Vallenet, Rufin Vanrullen, Stéphane Vezian, Aleksandra Walczak
2020 - -REPORT-

20 Capacity-Resolution Trade-Off in the Optimal Learning of Multiple Low-Dimensional Manifolds by Attractor Neural Networks
Aldo Battista, Rémi Monasson
2020 - Physical Review Letters

21 Inference of compressed Potts graphical models
Francesca Rizzato, Alice Coucke, Eleonora de Leonardis, J. P. P. Barton, Jérôme Tubiana, Remi Monasson, Simona Cocco
2020 - Physical Review E

22 From behavior to circuit modeling of light-seeking navigation in zebrafish larvae
Sophia Karpenko, Sebastien Wolf, Julie Lafaye, Guillaume Le Goc, Thomas Panier, Volker Bormuth, R. Candelier, Georges Debrégeas
2020 - eLife

23 Constraints and limitations on decoding positional information: the Bicoid case-study
Huy Tran, Walczak Aleksandra, Nathalie Dostatni
2020 -

24 Exploiting B Cell Receptor Analyses to Inform on HIV-1 Vaccination Strategies
Christoph Kreer, Henning Gruell, Thierry Mora, Aleksandra Walczak, Florian Klein
2020 - Vaccines

25 Inferring the immune response from repertoire sequencing
Maximilian Puelma Touzel, Aleksandra M Walczak, Thierry Mora
2020 - PLoS Computational Biology

26 Quantitative Immunology for Physicists
Grégoire Altan-Bonnet, Thierry Mora, Aleksandra M. Walczak
2020 - Physics Reports

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Publications

Statistical physics