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Anna Paola Muntoni

Showing results (1-10 of 13) with videos related to

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Bioinformatics (Oxford, England)|August 30, 2023
DCAlign v1.0: aligning biological sequences using co-evolution models and informed priorsAnna Paola Muntoni, Andrea Pagnani
Physical Biology|March 6, 2023
Optimal metabolic strategies for microbial growth in stationary random environmentsAnna Paola Muntoni, Andrea De Martino
Nature Communications|April 7, 2017
An analytic approximation of the feasible space of metabolic networksAlfredo Braunstein, Anna Paola Muntoni, Andrea Pagnani
Journal of the Royal Society, Interface|April 9, 2019
Network reconstruction from infection cascadesAlfredo Braunstein, Alessandro Ingrosso, Anna Paola Muntoni
Physical Review. E|January 20, 2021
Aligning biological sequences by exploiting residue conservation and coevolutionAnna Paola Muntoni, Andrea Pagnani, Martin Weigt, et al.
BMC Bioinformatics|October 30, 2021
adabmDCA: adaptive Boltzmann machine learning for biological sequencesAnna Paola Muntoni, Andrea Pagnani, Martin Weigt, et al.
Scientific Reports|May 5, 2023
Inference in conditioned dynamics through causality restorationAlfredo Braunstein, Giovanni Catania, Luca Dall'Asta, et al.
Methods in Molecular Biology (Clifton, N.J.)|November 1, 2025
adabmDCA 2.0-A Flexible but Easy-to-Use Package for Direct Coupling AnalysisLorenzo Rosset, Roberto Netti, Anna Paola Muntoni, et al.
PNAS Nexus|September 17, 2024
Effectiveness of probabilistic contact tracing in epidemic containment: The role of superspreaders and transmission path reconstructionAnna Paola Muntoni, Fabio Mazza, Alfredo Braunstein, et al.
Physical Review. E|September 16, 2021
Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence familiesPierre Barrat-Charlaix, Anna Paola Muntoni, Kai Shimagaki, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|August 30, 2023
DCAlign v1.0: aligning biological sequences using co-evolution models and informed priorsAnna Paola Muntoni, Andrea Pagnani
Physical Biology|March 6, 2023
Optimal metabolic strategies for microbial growth in stationary random environmentsAnna Paola Muntoni, Andrea De Martino
Nature Communications|April 7, 2017
An analytic approximation of the feasible space of metabolic networksAlfredo Braunstein, Anna Paola Muntoni, Andrea Pagnani
Journal of the Royal Society, Interface|April 9, 2019
Network reconstruction from infection cascadesAlfredo Braunstein, Alessandro Ingrosso, Anna Paola Muntoni
Physical Review. E|January 20, 2021
Aligning biological sequences by exploiting residue conservation and coevolutionAnna Paola Muntoni, Andrea Pagnani, Martin Weigt, et al.
BMC Bioinformatics|October 30, 2021
adabmDCA: adaptive Boltzmann machine learning for biological sequencesAnna Paola Muntoni, Andrea Pagnani, Martin Weigt, et al.
Scientific Reports|May 5, 2023
Inference in conditioned dynamics through causality restorationAlfredo Braunstein, Giovanni Catania, Luca Dall'Asta, et al.
Methods in Molecular Biology (Clifton, N.J.)|November 1, 2025
adabmDCA 2.0-A Flexible but Easy-to-Use Package for Direct Coupling AnalysisLorenzo Rosset, Roberto Netti, Anna Paola Muntoni, et al.
PNAS Nexus|September 17, 2024
Effectiveness of probabilistic contact tracing in epidemic containment: The role of superspreaders and transmission path reconstructionAnna Paola Muntoni, Fabio Mazza, Alfredo Braunstein, et al.
Physical Review. E|September 16, 2021
Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence familiesPierre Barrat-Charlaix, Anna Paola Muntoni, Kai Shimagaki, et al.
Pageof 2