| Neoantigen quality predicts immunoediting in survivors of pancreatic cancer M Łuksza, ZM Sethna, LA Rojas, J Lihm, B Bravi, Y Elhanati, K Soares, ... Nature 606 (7913), 389-395, 2022 | 98 | 2022 |
| Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report P Meysman, J Barton, B Bravi, L Cohen-Lavi, V Karnaukhov, E Lilleskov, ... ImmunoInformatics 9, 100024, 2023 | 39 | 2023 |
| RBM-MHC: A Semi-Supervised Machine-Learning Method for Sample-Specific Prediction of Antigen Presentation by HLA-I Alleles B Bravi, J Tubiana, S Cocco, R Monasson, T Mora, AM Walczak Cell systems 12 (2), 195-202. e9, 2021 | 35 | 2021 |
| The unconventionality of nature: biology, from noise to functional randomness B Bravi, G Longo Unconventional Computation and Natural Computation: 14th International …, 2015 | 29 | 2015 |
| Extended Plefka expansion for stochastic dynamics B Bravi, P Sollich, M Opper Journal of Physics A: Mathematical and Theoretical 49 (19), 194003, 2016 | 19 | 2016 |
| Direct coupling analysis of epistasis in allosteric materials B Bravi, R Ravasio, C Brito, M Wyart PLOS Computational Biology 16 (3), e1007630, 2020 | 17 | 2020 |
| Statistical physics approaches to subnetwork dynamics in biochemical systems B Bravi, P Sollich Physical biology 14 (4), 045010, 2017 | 16 | 2017 |
| Probing T-cell response by sequence-based probabilistic modeling B Bravi, VP Balachandran, BD Greenbaum, AM Walczak, T Mora, ... PLOS Computational Biology 17 (9), e1009297, 2021 | 13 | 2021 |
| Inference for dynamics of continuous variables: the Extended Plefka Expansion with hidden nodes B Bravi, P Sollich Journal of Statistical Mechanics: Theory and Experiment 2017 (6), 063404, 2017 | 13 | 2017 |
| Inferring hidden states in Langevin dynamics on large networks: Average case performance B Bravi, M Opper, P Sollich Physical Review E 95 (1), 012122, 2017 | 9 | 2017 |
| Responses to auxin signals: an operating principle for dynamical sensitivity yet high resilience S Grigolon, B Bravi, OC Martin Royal Society open science 5 (1), 172098, 2018 | 8 | 2018 |
| A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity B Bravi, A Di Gioacchino, J Fernandez-de-Cossio-Diaz, AM Walczak, ... Elife 12, e85126, 2023 | 4 | 2023 |
| Systematic model reduction captures the dynamics of extrinsic noise in biochemical subnetworks B Bravi, KJ Rubin, P Sollich J. Chem. Phys. 153, 025101, 2020 | 4 | 2020 |
| Path integral approaches to subnetwork description and inference B Bravi King's College London, 2016 | 4 | 2016 |
| Learning the differences: a transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity B Bravi, A Di Gioacchino, J Fernandez-de-Cossio-Diaz, AM Walczak, ... bioRxiv, 2022.12. 06.519259, 2022 | 3 | 2022 |
| Critical scaling in hidden state inference for linear Langevin dynamics B Bravi, P Sollich Journal of Statistical Mechanics: Theory and Experiment 2017 (6), 063504, 2017 | 2 | 2017 |
| Development and use of machine learning algorithms in vaccine target selection B Bravi npj Vaccines 9 (1), 15, 2024 | 1 | 2024 |
| Wavelet-Based Density Estimation for Persistent Homology K Häberle, B Bravi, A Monod arXiv preprint arXiv:2305.08999, 2023 | 1 | 2023 |
| ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning K Michalewicz, M Barahona, B Bravi bioRxiv, 2023.12. 22.572853, 2023 | | 2023 |
| Modeling antigen presentation and immune recognition with Restricted Boltzmann Machines B Bravi, S Cocco, R Monasson, T Mora, A Walczak APS March Meeting Abstracts 2021, V13. 005, 2021 | | 2021 |
