Sfoglia per Autore
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
Longitudinal cancer evolution from single cells
2020 Ramazzotti, D; Angaroni, F; Maspero, D; Ascolani, G; Castiglioni, I; Piazza, R; Antoniotti, M; Graudenzi, A
The detection of dynamical organization in cancer evolution models
2020 Sani, L; D'Addese, G; Graudenzi, A; Villani, M
FBCA, A multiscale modeling framework combining cellular automata and flux balance analysis
2020 Graudenzi, A; Maspero, D; Damiani, C
VERSO:A COMPREHENSIVE FRAMEWORK FOR THE INFERENCE OF ROBUST PHYLOGENIES AND THE QUANTIFICATION OF INTRA-HOST GENOMIC DIVERSITY OF VIRAL SAMPLES
2020 Ramazzotti, D; Angaroni, F; Maspero, D; Gambacorti-Passerini, C; Antoniotti, M; Graudenzi, A; Piazza, R
Characterization of intra-host SARS-CoV-2 variants improves phylogenomic reconstruction and may reveal functionally convergent mutations
2020 Ramazzotti, D; Angaroni, F; Maspero, D; Gambacorti-Passerini, C; Antoniotti, M; Graudenzi, A; Piazza, R
An Optimal Control Framework for the Automated Design of Personalized Cancer Treatments
2020 Angaroni, F; Graudenzi, A; Rossignolo, M; Maspero, D; Calarco, T; Piazza, R; Montangero, S; Antoniotti, M
A closed-loop optimization framework for personalized cancer therapy design
2020 Angaroni, F; Pennati, M; Patruno, L; Maspero, D; Antoniotti, M; Graudenzi, A
MaREA4Galaxy: metabolic reaction enrichment analysis and visualization of RNA-seq data using Galaxy
2020 Damiani, C; Rovida, L; Maspero, D; Sala, I; Rosato, L; Di Filippo, M; Pescini, D; Graudenzi, A; Antoniotti, M; Mauri, G
Integration of single-cell RNA-sequencing data into flux balance cellular automata
2020 Maspero, D; Di Filippo, M; Angaroni, F; Pescini, D; Mauri, G; Vanoni, M; Graudenzi, A; Damiani, C
Understanding deep learning with activation pattern diagrams
2020 Craighero, F; Angaroni, F; Graudenzi, A; Stella, F; Antoniotti, M
Investigating the Compositional Structure Of Deep Neural Networks
2020 Craigher, F; Angaroni, F; Graudenzi, A; Stella, F; Antoniotti, M
The Influence of Nutrients Diffusion on a Metabolism-driven Model of a Multi-cellular System
2019 Maspero, D; Damiani, C; Antoniotti, M; Graudenzi, A; Di Filippo, M; Vanoni, M; Caravagna, G; Colombo, R; Ramazzotti, D; Pescini, D
Synchronization effects in a metabolism-driven model of multi-cellular system
2019 Maspero, D; Graudenzi, A; AMARPAL SINGH, A; Pescini, D; Mauri, G; Antoniotti, M; Damiani, C
cyTRON and cyTRON/JS: two Cytoscape-based applications for the inference of cancer evolution models
2019 Patruno, L; Galimberti, E; Ramazzotti, D; Caravagna, G; De Sano, L; Antoniotti, M; Graudenzi, A
Personalized therapy design for liquid tumors via optimal control theory
2019 Angaroni, F; Graudenzi, A; Rossignolo, M; Maspero, D; Calarco, T; Piazza, R; Montangero, S; Antoniotti, M
Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data
2019 Ramazzotti, D; Graudenzi, A; De Sano, L; Antoniotti, M; Caravagna, G
Integration of single-cell RNA-seq data into population models to characterize cancer metabolism
2019 Damiani, C; Maspero, D; Di Filippo, M; Colombo, R; Pescini, D; Graudenzi, A; Westerhoff, H; Alberghina, L; Vanoni, M; Mauri, G
Efficient computational strategies to learn the structure of probabilistic graphical models of cumulative phenomena
2019 Ramazzotti, D; Nobile, M; Antoniotti, M; Graudenzi, A
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