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Monasson

Showing results (51-60 of 109) with videos related to

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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 16, 2007
Inferring DNA sequences from mechanical unzipping data: the large-bandwidth caseV Baldazzi, S Bradde, S Cocco, et al.
Elife|June 16, 2020
Quantitative modeling of the effect of antigen dosage on B-cell affinity distributions in maturating germinal centersMarco Molari, Klaus Eyer, Jean Baudry, et al.
Neural Computation|October 16, 2019
Can Grid Cell Ensembles Represent Multiple Spaces?Davide Spalla, Alexis Dubreuil, Sophie Rosay, et al.
Plos Computational Biology|May 14, 2016
Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable ModelsHugo Jacquin, Amy Gilson, Eugene Shakhnovich, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Constrained Evolutionary Funnels Shape Viral Immune EscapeMarian Huot, Dianzhuo Wang, Eugene Shakhnovich, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 15, 2026
Constrained evolutionary funnels shape viral immune escapeMarian Huot, Dianzhuo Wang, Eugene Shakhnovich, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 19, 2014
Quantitative theory of entropic forces acting on constrained nucleotide sequences applied to virusesBenjamin D Greenbaum, Simona Cocco, Arnold J Levine, et al.
Current Opinion in Structural Biology|March 22, 2023
Machine learning for evolutionary-based and physics-inspired protein design: Current and future synergiesCyril Malbranke, David Bikard, Simona Cocco, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 15, 2014
Large pseudocounts and L2-norm penalties are necessary for the mean-field inference of Ising and Potts modelsJ P Barton, S Cocco, E De Leonardis, et al.
Network Neuroscience (Cambridge, Mass.)|June 2, 2018
Functional coupling networks inferred from prefrontal cortex activity show experience-related effective plasticityGaia Tavoni, Ulisse Ferrari, Francesco P Battaglia, et al.
Pageof 11

Showing results (51-60 of 109) with videos related to

Sort By:
Pageof 11
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 16, 2007
Inferring DNA sequences from mechanical unzipping data: the large-bandwidth caseV Baldazzi, S Bradde, S Cocco, et al.
Elife|June 16, 2020
Quantitative modeling of the effect of antigen dosage on B-cell affinity distributions in maturating germinal centersMarco Molari, Klaus Eyer, Jean Baudry, et al.
Neural Computation|October 16, 2019
Can Grid Cell Ensembles Represent Multiple Spaces?Davide Spalla, Alexis Dubreuil, Sophie Rosay, et al.
Plos Computational Biology|May 14, 2016
Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable ModelsHugo Jacquin, Amy Gilson, Eugene Shakhnovich, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Constrained Evolutionary Funnels Shape Viral Immune EscapeMarian Huot, Dianzhuo Wang, Eugene Shakhnovich, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 15, 2026
Constrained evolutionary funnels shape viral immune escapeMarian Huot, Dianzhuo Wang, Eugene Shakhnovich, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 19, 2014
Quantitative theory of entropic forces acting on constrained nucleotide sequences applied to virusesBenjamin D Greenbaum, Simona Cocco, Arnold J Levine, et al.
Current Opinion in Structural Biology|March 22, 2023
Machine learning for evolutionary-based and physics-inspired protein design: Current and future synergiesCyril Malbranke, David Bikard, Simona Cocco, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 15, 2014
Large pseudocounts and L2-norm penalties are necessary for the mean-field inference of Ising and Potts modelsJ P Barton, S Cocco, E De Leonardis, et al.
Network Neuroscience (Cambridge, Mass.)|June 2, 2018
Functional coupling networks inferred from prefrontal cortex activity show experience-related effective plasticityGaia Tavoni, Ulisse Ferrari, Francesco P Battaglia, et al.
Pageof 11