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Alex Graudenzi

Showing results (1-10 of 44) with videos related to

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Mathematical Biosciences and Engineering : MBE|January 15, 2013
Distributed delays in a hybrid model of tumor-immune system interplayGiulio Caravagna, Alex Graudenzi, Alberto d'Onofrio
Journal of Mathematical Biology|May 9, 2012
A review of spatial computational models for multi-cellular systems, with regard to intestinal crypts and colorectal cancer developmentGiovanni De Matteis, Alex Graudenzi, Marco Antoniotti
Plos One|May 30, 2014
Investigating the relation between stochastic differentiation, homeostasis and clonal expansion in intestinal crypts via multiscale modelingAlex Graudenzi, Giulio Caravagna, Giovanni De Matteis, et al.
Evolutionary Bioinformatics Online|July 18, 2018
Modeling Cumulative Biological Phenomena with Suppes-Bayes Causal NetworksDaniele Ramazzotti, Alex Graudenzi, Giulio Caravagna, et al.
Computational Biology and Chemistry|December 19, 2012
Parameter sensitivity analysis of stochastic models: application to catalytic reaction networksChiara Damiani, Alessandro Filisetti, Alex Graudenzi, et al.
BMC Bioinformatics|April 27, 2019
Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing dataDaniele Ramazzotti, Alex Graudenzi, Luca De Sano, et al.
Iscience|February 3, 2021
Mutational signatures and heterogeneous host response revealed via large-scale characterization of SARS-CoV-2 genomic diversityAlex Graudenzi, Davide Maspero, Fabrizio Angaroni, et al.
Briefings in Bioinformatics|October 1, 2020
A review of computational strategies for denoising and imputation of single-cell transcriptomic dataLucrezia Patruno, Davide Maspero, Francesco Craighero, et al.
Bioinformatics (Oxford, England)|January 8, 2013
GESTODIFFERENT: a Cytoscape plugin for the generation and the identification of gene regulatory networks describing a stochastic cell differentiation processMarco Antoniotti, Gary D Bader, Giulio Caravagna, et al.
Bioinformatics (Oxford, England)|October 14, 2021
PMCE: efficient inference of expressive models of cancer evolution with high prognostic powerFabrizio Angaroni, Kevin Chen, Chiara Damiani, et al.
Pageof 5

Showing results (1-10 of 44) with videos related to

Sort By:
Pageof 5
Mathematical Biosciences and Engineering : MBE|January 15, 2013
Distributed delays in a hybrid model of tumor-immune system interplayGiulio Caravagna, Alex Graudenzi, Alberto d'Onofrio
Journal of Mathematical Biology|May 9, 2012
A review of spatial computational models for multi-cellular systems, with regard to intestinal crypts and colorectal cancer developmentGiovanni De Matteis, Alex Graudenzi, Marco Antoniotti
Plos One|May 30, 2014
Investigating the relation between stochastic differentiation, homeostasis and clonal expansion in intestinal crypts via multiscale modelingAlex Graudenzi, Giulio Caravagna, Giovanni De Matteis, et al.
Evolutionary Bioinformatics Online|July 18, 2018
Modeling Cumulative Biological Phenomena with Suppes-Bayes Causal NetworksDaniele Ramazzotti, Alex Graudenzi, Giulio Caravagna, et al.
Computational Biology and Chemistry|December 19, 2012
Parameter sensitivity analysis of stochastic models: application to catalytic reaction networksChiara Damiani, Alessandro Filisetti, Alex Graudenzi, et al.
BMC Bioinformatics|April 27, 2019
Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing dataDaniele Ramazzotti, Alex Graudenzi, Luca De Sano, et al.
Iscience|February 3, 2021
Mutational signatures and heterogeneous host response revealed via large-scale characterization of SARS-CoV-2 genomic diversityAlex Graudenzi, Davide Maspero, Fabrizio Angaroni, et al.
Briefings in Bioinformatics|October 1, 2020
A review of computational strategies for denoising and imputation of single-cell transcriptomic dataLucrezia Patruno, Davide Maspero, Francesco Craighero, et al.
Bioinformatics (Oxford, England)|January 8, 2013
GESTODIFFERENT: a Cytoscape plugin for the generation and the identification of gene regulatory networks describing a stochastic cell differentiation processMarco Antoniotti, Gary D Bader, Giulio Caravagna, et al.
Bioinformatics (Oxford, England)|October 14, 2021
PMCE: efficient inference of expressive models of cancer evolution with high prognostic powerFabrizio Angaroni, Kevin Chen, Chiara Damiani, et al.
Pageof 5