| Direct-Coupling Analysis of nucleotide coevolution facilitates RNA secondary and tertiary structure prediction E De Leonardis, B Lutz, S Ratz, S Cocco, R Monasson, A Schug, M Weigt Nucleic acids research 43 (21), 10444-10455, 2015 | 143 | 2015 |
| ACE: adaptive cluster expansion for maximum entropy graphical model inference JP Barton, E De Leonardis, A Coucke, S Cocco Bioinformatics 32 (20), 3089-3097, 2016 | 106 | 2016 |
| Large pseudocounts and -norm penalties are necessary for the mean-field inference of Ising and Potts models JP Barton, S Cocco, E De Leonardis, R Monasson Physical Review E 90 (1), 012132, 2014 | 40 | 2014 |
| Inference of compressed Potts graphical models F Rizzato, A Coucke, E de Leonardis, JP Barton, J Tubiana, R Monasson, ... Physical Review E 101 (1), 012309, 2020 | 21 | 2020 |
| RNA secondary and tertiary structure prediction by tracing nucleotide co-evolution with direct coupling analysis E De Leonardis, B Lutz, S Ratz, C Simona, R Monasson, M Weigt, ... Biophysical Journal 110 (3), 364a, 2016 | 5 | 2016 |
| Protein and RNA structure prediction by integration of co-evolutionary information into molecular simulation E De Leonardis, B Lutz, S Cocco, R Monasson, H Szurmant, M Weigt, ... Biophysical Journal 108 (2), 13a-14a, 2015 | 4 | 2015 |
| Methods for statistical inference on correlated data: application to genomic data E De Leonardis ENS Paris-Ecole Normale Supérieure de Paris, 2015 | | 2015 |
