Publications by authors named "Fabrizio Angaroni"

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Translating microbial kinetics into quantitative responses and testable hypotheses using Kinbiont.
Fabrizio Angaroni, Alberto Peruzzi, Edgar Z Alvarenga, Fernanda Pinheiro

Nat Commun· July 2025

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Evolutionary signatures of human cancers revealed via genomic analysis of over 35,000 patients.
Diletta Fontana, Ilaria Crespiatico, Valentina Crippa, Federica Malighetti, Matteo Villa, Fabrizio Angaroni

Nat Commun· September 2023

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LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution.
Gianluca Ascolani, Fabrizio Angaroni, Davide Maspero, Francesco Craighero, Narra Lakshmi Sai Bhavesh

BMC Bioinformatics· March 2023

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Characterization of SARS-CoV-2 Mutational Signatures from 1.5+ Million Raw Sequencing Samples.
Andrea Aroldi, Fabrizio Angaroni, Deborah D'Aliberti, Silvia Spinelli, Ilaria Crespiatico

Viruses· December 2022

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SparseSignatures: An R package using LASSO-regularized non-negative matrix factorization to identify mutational signatures from human tumor samples.
Lorenzo Mella, Avantika Lal, Fabrizio Angaroni, Davide Maspero, Rocco Piazza

STAR Protoc· September 2022

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

BMC Bioinformatics· July 2022

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

iScience· June 2022

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Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines.
Daniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, Gianluca Ascolani, Isabella Castiglioni

Nat Commun· May 2022

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Large-scale analysis of SARS-CoV-2 synonymous mutations reveals the adaptation to the human codon usage during the virus evolution.
Daniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, Mario Mauri, Deborah D'Aliberti

Virus Evol· March 2022

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PMCE: efficient inference of expressive models of cancer evolution with high prognostic power.
Fabrizio Angaroni, Kevin Chen, Chiara Damiani, Giulio Caravagna, Alex Graudenzi

Bioinformatics· January 2022

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A review of computational strategies for denoising and imputation of single-cell transcriptomic data.
Lucrezia Patruno, Davide Maspero, Francesco Craighero, Fabrizio Angaroni, Marco Antoniotti

Brief Bioinform· July 2021

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VERSO: A comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samples.
Daniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, Carlo Gambacorti-Passerini, Marco Antoniotti

Patterns (N Y)· March 2021

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

iScience· February 2021

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On the Use of Topological Features of Metabolic Networks for the Classification of Cancer Samples.
Jeaneth Machicao, Francesco Craighero, Davide Maspero, Fabrizio Angaroni, Chiara Damiani

Curr Genomics· February 2021

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An Optimal Control Framework for the Automated Design of Personalized Cancer Treatments.
Fabrizio Angaroni, Alex Graudenzi, Marco Rossignolo, Davide Maspero, Tommaso Calarco

Front Bioeng Biotechnol· May 2020

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gDNA qPCR is statistically more reliable than mRNA analysis in detecting leukemic cells to monitor CML.
Alessia Rainero, Fabrizio Angaroni, Francesca D'Avila, Andrea Conti, Cristina Pirrone

Cell Death Dis· March 2018

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