PATRUNO, LUCREZIA
PATRUNO, LUCREZIA
DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE
Early tolerance and late persistence as alternative drug responses in cancer
2025 Punzi, S; Cittaro, D; Gatti, G; Crupi, G; Botrugno, O; Cartalemi, A; Gutfreund, A; Oneto, C; Giansanti, V; Battistini, C; Santacatterina, G; Patruno, L; Villanti, I; Palumbo, M; Laverty, D; Giannese, F; Graudenzi, A; Caravagna, G; Antoniotti, M; Nagel, Z; Cavallaro, U; Lanfrancone, L; Yap, T; Draetta, G; Balaban, N; Tonon, G
The immune cell dynamics in the peripheral blood of cHL patients receiving anti-PD1 treatment
2025 Cristaldi, V; Terzi di Bergamo, L; Patruno, L; Kallikourdis, M; Cassanmagnago, G; Corrado, F; Calabretta, E; Condoluci, A; di Trani, M; Rahal, D; Basso, G; Peano, C; Graudenzi, A; Antoniotti, M; Rossi, D; Carlo-Stella, C
Clonal Lineage Tracing with Somatic Delivery of Recordable Barcodes Reveals Migration Histories of Metastatic Prostate Cancer
2024 Serio, R; Scheben, A; Lu, B; Gargiulo, D; Patruno, L; Buckholtz, C; Chaffee, R; Jibilian, M; Persaud, S; Staklinski, S; Hassett, R; Brault, L; Ramazzotti, D; Barbieri, C; Siepel, A; Nowak, D
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
Computational strategies for single-cell multi-omics data analysis and integration
2023 Patruno, L
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
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
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
A closed-loop optimization framework for personalized cancer therapy design
2020 Angaroni, F; Pennati, M; Patruno, L; Maspero, D; Antoniotti, M; Graudenzi, A