Hasil Pencarian - Alex Graudenzi

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  1. 1
    Modeling Cumulative Biological Phenomena with Suppes-Bayes Causal Networks

    Modeling Cumulative Biological Phenomena with Suppes-Bayes Causal Networks oleh Daniele Ramazzotti, Alex Graudenzi, Giulio Caravagna, Marco Antoniotti

    Diterbitkan 2018-07-01
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  2. 2
    Investigating the relation between stochastic differentiation, homeostasis and clonal expansion in intestinal crypts via multiscale modeling.

    Investigating the relation between stochastic differentiation, homeostasis and clonal expansion in intestinal crypts via multiscale modeling. oleh Alex Graudenzi, Giulio Caravagna, Giovanni De Matteis, Marco Antoniotti

    Diterbitkan 2014-01-01
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  3. 3
    Analysis of the spatial and dynamical properties of a multiscale model of intestinal crypts

    Analysis of the spatial and dynamical properties of a multiscale model of intestinal crypts oleh Marco Antoniotti, Giulio Caravagna, Alex Graudenzi, Giovanni de Matteis

    Diterbitkan 2013-09-01
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  4. 4
    Mutational signatures and heterogeneous host response revealed via large-scale characterization of SARS-CoV-2 genomic diversity

    Mutational signatures and heterogeneous host response revealed via large-scale characterization of SARS-CoV-2 genomic diversity oleh Alex Graudenzi, Davide Maspero, Fabrizio Angaroni, Rocco Piazza, Daniele Ramazzotti

    Diterbitkan 2021-02-01
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  5. 5
    Recent developments in research on catalytic reaction networks

    Recent developments in research on catalytic reaction networks oleh Roberto Serra, Marco Villani, Alex Graudenzi, Alessandro Filisetti, Chiara Damiani

    Diterbitkan 2013-09-01
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  6. 6
    A model of protocell based on the introduction of a semi-permeable membrane in a stochastic model of catalytic reaction networks

    A model of protocell based on the introduction of a semi-permeable membrane in a stochastic model of catalytic reaction networks oleh Marco Villani, Chiara Damiani, Alex Graudenzi, Alessandro Filisetti, Roberto Serra

    Diterbitkan 2013-09-01
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  7. 7
    Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data

    Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data oleh Daniele Ramazzotti, Alex Graudenzi, Luca De Sano, Marco Antoniotti, Giulio Caravagna

    Diterbitkan 2019-04-01
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  8. 8
    Effects of delayed immune-response in tumor immune-system interplay

    Effects of delayed immune-response in tumor immune-system interplay oleh Alberto d'Onofrio, Giancarlo Mauri, Marco Antoniotti, Alex Graudenzi, Giulio Caravagna

    Diterbitkan 2012-08-01
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  9. 9
    Growth and Division in a Dynamic Protocell Model

    Growth and Division in a Dynamic Protocell Model oleh Marco Villani, Alessandro Filisetti, Alex Graudenzi, Chiara Damiani, Timoteo Carletti, Roberto Serra

    Diterbitkan 2014-12-01
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  10. 10
    VirMutSig: Discovery and assignment of viral mutational signatures from sequencing data

    VirMutSig: Discovery and assignment of viral mutational signatures from sequencing data oleh Davide Maspero, Fabrizio Angaroni, Danilo Porro, Rocco Piazza, Alex Graudenzi, Daniele Ramazzotti

    Diterbitkan 2021-12-01
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  11. 11
    J-SPACE: a Julia package for the simulation of spatial models of cancer evolution and of sequencing experiments

    J-SPACE: a Julia package for the simulation of spatial models of cancer evolution and of sequencing experiments oleh Fabrizio Angaroni, Alessandro Guidi, Gianluca Ascolani, Alberto d’Onofrio, Marco Antoniotti, Alex Graudenzi

    Diterbitkan 2022-07-01
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  12. 12
    An Optimal Control Framework for the Automated Design of Personalized Cancer Treatments

    An Optimal Control Framework for the Automated Design of Personalized Cancer Treatments oleh Fabrizio Angaroni, Alex Graudenzi, Alex Graudenzi, Marco Rossignolo, Marco Rossignolo, Davide Maspero, Davide Maspero, Davide Maspero, Tommaso Calarco, Rocco Piazza, Rocco Piazza, Simone Montangero, Simone Montangero, Marco Antoniotti, Marco Antoniotti

    Diterbitkan 2020-05-01
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  13. 13
    Early detection and improved genomic surveillance of SARS-CoV-2 variants from deep sequencing data

    Early detection and improved genomic surveillance of SARS-CoV-2 variants from deep sequencing data oleh Daniele Ramazzotti, Davide Maspero, Fabrizio Angaroni, Silvia Spinelli, Marco Antoniotti, Rocco Piazza, Alex Graudenzi

    Diterbitkan 2022-06-01
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  14. 14
    CoGNaC: A Chaste Plugin for the Multiscale Simulation of Gene Regulatory Networks Driving the Spatial Dynamics of Tissues and Cancer

    CoGNaC: A Chaste Plugin for the Multiscale Simulation of Gene Regulatory Networks Driving the Spatial Dynamics of Tissues and Cancer oleh Simone Rubinacci, Alex Graudenzi, Giulio Caravagna, Giancarlo Mauri, James Osborne, Joe Pitt-Francis, Marco Antoniotti

    Diterbitkan 2015-01-01
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  15. 15
    Inferring tree causal models of cancer progression with probability raising.

    Inferring tree causal models of cancer progression with probability raising. oleh Loes Olde Loohuis, Giulio Caravagna, Alex Graudenzi, Daniele Ramazzotti, Giancarlo Mauri, Marco Antoniotti, Bud Mishra

    Diterbitkan 2014-01-01
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  16. 16
    CoGNaC: A Chaste Plugin for the Multiscale Simulation of Gene Regulatory Networks Driving the Spatial Dynamics of Tissues and Cancer

    CoGNaC: A Chaste Plugin for the Multiscale Simulation of Gene Regulatory Networks Driving the Spatial Dynamics of Tissues and Cancer oleh Simone Rubinacci, Alex Graudenzi, Giulio Caravagna, Giancarlo Mauri, James Osborne, Joe Pitt-Francis, Marco Antoniotti

    Diterbitkan 2015-09-01
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  17. 17
    Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines

    Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines oleh Daniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, Gianluca Ascolani, Isabella Castiglioni, Rocco Piazza, Marco Antoniotti, Alex Graudenzi

    Diterbitkan 2022-05-01
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  18. 18
    SparseSignatures: An R package using LASSO-regularized non-negative matrix factorization to identify mutational signatures from human tumor samples

    SparseSignatures: An R package using LASSO-regularized non-negative matrix factorization to identify mutational signatures from human tumor samples oleh Lorenzo Mella, Avantika Lal, Fabrizio Angaroni, Davide Maspero, Rocco Piazza, Arend Sidow, Marco Antoniotti, Alex Graudenzi, Daniele Ramazzotti

    Diterbitkan 2022-09-01
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  19. 19
    A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing.

    A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing. oleh Lucrezia Patruno, Salvatore Milite, Riccardo Bergamin, Nicola Calonaci, Alberto D'Onofrio, Fabio Anselmi, Marco Antoniotti, Alex Graudenzi, Giulio Caravagna

    Diterbitkan 2023-11-01
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  20. 20
    Characterization of SARS-CoV-2 Mutational Signatures from 1.5+ Million Raw Sequencing Samples

    Characterization of SARS-CoV-2 Mutational Signatures from 1.5+ Million Raw Sequencing Samples oleh Andrea Aroldi, Fabrizio Angaroni, Deborah D’Aliberti, Silvia Spinelli, Ilaria Crespiatico, Valentina Crippa, Rocco Piazza, Alex Graudenzi, Daniele Ramazzotti

    Diterbitkan 2022-12-01
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