Fabrizio Angaroni
Fabrizio Angaroni
Human Technopole
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Cited by
Cited by
Mutational signatures and heterogeneous host response revealed via large-scale characterization of SARS-CoV-2 genomic diversity
A Graudenzi, D Maspero, F Angaroni, R Piazza, D Ramazzotti
Iscience 24 (2), 102116, 2021
VERSO: a comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samples
D Ramazzotti, F Angaroni, D Maspero, C Gambacorti-Passerini, ...
Patterns 2 (3), 100212, 2021
A review of computational strategies for denoising and imputation of single-cell transcriptomic data
L Patruno, D Maspero, F Craighero, F Angaroni, M Antoniotti, A Graudenzi
Briefings in bioinformatics 22 (4), bbaa222, 2021
Amplification of the parametric dynamical Casimir effect via optimal control
F Hoeb, F Angaroni, J Zoller, T Calarco, G Strini, S Montangero, G Benenti
Physical Review A 96 (3), 033851, 2017
An optimal control framework for the automated design of personalized cancer treatments
F Angaroni, A Graudenzi, M Rossignolo, D Maspero, T Calarco, R Piazza, ...
Frontiers in Bioengineering and Biotechnology 8, 523, 2020
Longitudinal cancer evolution from single cells
D Ramazzotti, F Angaroni, D Maspero, G Ascolani, I Castiglioni, R Piazza, ...
bioRxiv, 2020.01. 14.906453, 2020
Large-scale analysis of SARS-CoV-2 synonymous mutations reveals the adaptation to the human codon usage during the virus evolution
D Ramazzotti, F Angaroni, D Maspero, M Mauri, D D’Aliberti, D Fontana, ...
Virus Evolution 8 (1), veac026, 2022
Applications of Picard and Magnus expansions to the Rabi model
F Angaroni, G Benenti, G Strini
The European Physical Journal D 72, 1-9, 2018
gDNA qPCR is statistically more reliable than mRNA analysis in detecting leukemic cells to monitor CML
A Rainero, F Angaroni, F D’Avila, A Conti, C Pirrone, G Micheloni, ...
Cell death & disease 9 (3), 349, 2018
PMCE: efficient inference of expressive models of cancer evolution with high prognostic power
F Angaroni, K Chen, C Damiani, G Caravagna, A Graudenzi, ...
Bioinformatics 38 (3), 754-762, 2022
Reconstruction of electromagnetic field states by a probe qubit
F Angaroni, G Benenti, G Strini
The European Physical Journal D 70, 1-8, 2016
Lace: inference of cancer evolution models from longitudinal single-cell sequencing data
D Ramazzotti, F Angaroni, D Maspero, G Ascolani, I Castiglioni, R Piazza, ...
Journal of Computational Science 58, 101523, 2022
Quantification of intra-host genomic diversity of sars-cov-2 allows a high-resolution characterization of viral evolution and reveals functionally convergent variants
D Ramazzotti, F Angaroni, D Maspero, C Gambacorti-Passerini, ...
BioRxiv, 2020.04. 22.044404, 2020
Investigating the Compositional Structure of Deep Neural Networks
F Craighero, F Angaroni, A Graudenzi, F Stella, M Antoniotti
Machine Learning, Optimization, and Data Science: 6th International …, 2020
Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines
D Ramazzotti, F Angaroni, D Maspero, G Ascolani, I Castiglioni, R Piazza, ...
Nature communications 13 (1), 2718, 2022
VirMutSig: Discovery and assignment of viral mutational signatures from sequencing data
D Maspero, F Angaroni, D Porro, R Piazza, A Graudenzi, D Ramazzotti
STAR Protocols 2 (4), 100911, 2021
A closed-loop optimization framework for personalized cancer therapy design
F Angaroni, M Pennati, L Patruno, D Maspero, M Antoniotti, A Graudenzi
2020 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2020
SparseSignatures: An R package using LASSO-regularized non-negative matrix factorization to identify mutational signatures from human tumor samples
L Mella, A Lal, F Angaroni, D Maspero, R Piazza, A Sidow, M Antoniotti, ...
STAR protocols 3 (3), 101513, 2022
J-SPACE: a Julia package for the simulation of spatial models of cancer evolution and of sequencing experiments
F Angaroni, A Guidi, G Ascolani, A d’Onofrio, M Antoniotti, A Graudenzi
BMC bioinformatics 23 (1), 269, 2022
On the Use of Topological Features of Metabolic Networks for the Classification of Cancer Samples
J Machicao, F Craighero, D Maspero, F Angaroni, C Damiani, ...
Current Genomics 22 (2), 88-97, 2021
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