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Alex Graudenzi

Showing results (21-30 of 44) with videos related to

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Frontiers in Bioengineering and Biotechnology|June 18, 2020
An Optimal Control Framework for the Automated Design of Personalized Cancer TreatmentsFabrizio Angaroni, Alex Graudenzi, Marco Rossignolo, et al.
Nature Communications|May 13, 2022
Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell linesDaniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, et al.
Current Genomics|July 5, 2021
On the Use of Topological Features of Metabolic Networks for the Classification of Cancer SamplesJeaneth Machicao, Francesco Craighero, Davide Maspero, et al.
Bioinformatics (Oxford, England)|May 15, 2015
CAPRI: efficient inference of cancer progression models from cross-sectional dataDaniele Ramazzotti, Giulio Caravagna, Loes Olde Loohuis, et al.
Viruses|January 21, 2023
Characterization of SARS-CoV-2 Mutational Signatures from 1.5+ Million Raw Sequencing SamplesAndrea Aroldi, Fabrizio Angaroni, Deborah D'Aliberti, et al.
Plos Computational Biology|November 2, 2023
A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencingLucrezia Patruno, Salvatore Milite, Riccardo Bergamin, et al.
Theory in Biosciences = Theorie in Den Biowissenschaften|October 8, 2011
A stochastic model of autocatalytic reaction networksAlessandro Filisetti, Alex Graudenzi, Roberto Serra, et al.
Plos One|October 10, 2014
Inferring tree causal models of cancer progression with probability raisingLoes Olde Loohuis, Loes Olde Loohuis, Giulio Caravagna, et al.
STAR Protocols|July 2, 2022
SparseSignatures: An R package using LASSO-regularized non-negative matrix factorization to identify mutational signatures from human tumor samplesLorenzo Mella, Avantika Lal, Fabrizio Angaroni, et al.
Journal of Biomedical Informatics|September 24, 2018
Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic powerAlex Graudenzi, Davide Maspero, Marzia Di Filippo, et al.
Pageof 5

Showing results (21-30 of 44) with videos related to

Sort By:
Pageof 5
Frontiers in Bioengineering and Biotechnology|June 18, 2020
An Optimal Control Framework for the Automated Design of Personalized Cancer TreatmentsFabrizio Angaroni, Alex Graudenzi, Marco Rossignolo, et al.
Nature Communications|May 13, 2022
Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell linesDaniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, et al.
Current Genomics|July 5, 2021
On the Use of Topological Features of Metabolic Networks for the Classification of Cancer SamplesJeaneth Machicao, Francesco Craighero, Davide Maspero, et al.
Bioinformatics (Oxford, England)|May 15, 2015
CAPRI: efficient inference of cancer progression models from cross-sectional dataDaniele Ramazzotti, Giulio Caravagna, Loes Olde Loohuis, et al.
Viruses|January 21, 2023
Characterization of SARS-CoV-2 Mutational Signatures from 1.5+ Million Raw Sequencing SamplesAndrea Aroldi, Fabrizio Angaroni, Deborah D'Aliberti, et al.
Plos Computational Biology|November 2, 2023
A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencingLucrezia Patruno, Salvatore Milite, Riccardo Bergamin, et al.
Theory in Biosciences = Theorie in Den Biowissenschaften|October 8, 2011
A stochastic model of autocatalytic reaction networksAlessandro Filisetti, Alex Graudenzi, Roberto Serra, et al.
Plos One|October 10, 2014
Inferring tree causal models of cancer progression with probability raisingLoes Olde Loohuis, Loes Olde Loohuis, Giulio Caravagna, et al.
STAR Protocols|July 2, 2022
SparseSignatures: An R package using LASSO-regularized non-negative matrix factorization to identify mutational signatures from human tumor samplesLorenzo Mella, Avantika Lal, Fabrizio Angaroni, et al.
Journal of Biomedical Informatics|September 24, 2018
Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic powerAlex Graudenzi, Davide Maspero, Marzia Di Filippo, et al.
Pageof 5