Sfoglia per Autore
A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing
2023 Patruno, L; Milite, S; Bergamin, R; Calonaci, N; D'Onofrio, A; Anselmi, F; Antoniotti, M; Graudenzi, A; Caravagna, G
Unity is strength: Improving the detection of adversarial examples with ensemble approaches
2023 Craighero, F; Angaroni, F; Stella, F; Damiani, C; Antoniotti, M; Graudenzi, A
Characterization of SARS-CoV-2 Mutational Signatures from 1.5+ Million Raw Sequencing Samples
2023 Aroldi, A; Angaroni, F; D’Aliberti, D; Spinelli, S; Crespiatico, I; Crippa, V; Piazza, R; Graudenzi, A; Ramazzotti, D
Evolutionary signatures of human cancers revealed via genomic analysis of over 35,000 patients
2023 Fontana, D; Crespiatico, I; Crippa, V; Malighetti, F; Villa, M; Angaroni, F; De Sano, L; Aroldi, A; Antoniotti, M; Caravagna, G; Piazza, R; Graudenzi, A; Mologni, L; Ramazzotti, D
Characterization of cancer subtypes associated with clinical outcomes by multi-omics integrative clustering
2023 Crippa, V; Malighetti, F; Villa, M; Graudenzi, A; Piazza, R; Mologni, L; Ramazzotti, D
Exploring the Solution Space of Cancer Evolution Inference Frameworks for Single-Cell Sequencing Data
2023 Maspero, D; Angaroni, F; Patruno, L; Ramazzotti, D; Posada, D; Graudenzi, A
LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution
2023 Ascolani, G; Angaroni, F; Maspero, D; Craighero, F; Bhavesh, N; Piazza, R; Damiani, C; Ramazzotti, D; Antoniotti, M; Graudenzi, A
SparseSignatures: An R package using LASSO-regularized non-negative matrix factorization to identify mutational signatures from human tumor samples
2022 Mella, L; Lal, A; Angaroni, F; Maspero, D; Piazza, R; Sidow, A; Antoniotti, M; Graudenzi, A; Ramazzotti, D
Chemotherapy after PD-1 inhibitors in relapsed/refractory Hodgkin lymphoma: Outcomes and clonal evolution dynamics
2022 Calabretta, E; Guidetti, A; Ricci, F; Di Trani, M; Monfrini, C; Magagnoli, M; Bramanti, S; Maspero, D; Morello, L; Merli, M; Di Rocco, A; Graudenzi, A; Derenzini, E; Antoniotti, M; Rossi, D; Corradini, P; Santoro, A; Carlo‐stella, C
LACE: Inference of cancer evolution models from longitudinal single-cell sequencing data
2022 Ramazzotti, D; Angaroni, F; Maspero, D; Ascolani, G; Castiglioni, I; Piazza, R; Antoniotti, M; Graudenzi, A
J-SPACE: a Julia package for the simulation of spatial models of cancer evolution and of sequencing experiments
2022 Angaroni, F; Guidi, A; Ascolani, G; D'Onofrio, A; Antoniotti, M; Graudenzi, A
Early detection and improved genomic surveillance of SARS-CoV-2 variants from deep sequencing data
2022 Ramazzotti, D; Maspero, D; Angaroni, F; Spinelli, S; Antoniotti, M; Piazza, R; Graudenzi, A
Large-Scale Analysis of SARS-CoV-2 Synonymous Mutations Reveals the Adaptation to the Human Codon Usage During the Virus Evolution
2022 Ramazzotti, D; Angaroni, F; Maspero, D; Mauri, M; D’Aliberti, D; Fontana, D; Antoniotti, M; Elli, E; Graudenzi, A; Piazza, R
Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines
2022 Ramazzotti, D; Angaroni, F; Maspero, D; Ascolani, G; Castiglioni, I; Piazza, R; Antoniotti, M; Graudenzi, A
PMCE: efficient inference of expressive models of cancer evolution with high prognostic power
2022 Angaroni, F; Chen, K; Damiani, C; Caravagna, G; Graudenzi, A; Ramazzotti, D
On the use of topological features of metabolic networks for the classification of cancer samples
2021 Machicao, J; Craighero, F; Maspero, D; Angaroni, F; Damiani, C; Graudenzi, A; Antoniotti, M; Bruno, O
A review of computational strategies for denoising and imputation of single-cell transcriptomic data
2021 Patruno, L; Maspero, D; Craighero, F; Angaroni, F; Antoniotti, M; Graudenzi, A
Mutational signatures and heterogeneous host response revealed via large-scale characterization of SARS-CoV-2 genomic diversity
2021 Graudenzi, A; Maspero, D; Angaroni, F; Piazza, R; Ramazzotti, D
OG-SPACE: Optimized Stochastic Simulation of Spatial Models of Cancer Evolution
2021 Angaroni, F; Antoniotti, M; Graudenzi, A
Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems
2021 Patruno, L; Craighero, F; Maspero, D; Graudenzi, A; Damiani, C
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