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 | 24 | 2021 |
Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems L Patruno, F Craighero, D Maspero, A Graudenzi, C Damiani Information and Computation, 104798, 2021 | 2 | 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 | 2 | 2020 |
cyTRON and cyTRON/JS: Two Cytoscape-Based Applications for the Inference of Cancer Evolution Models L Patruno, E Galimberti, D Ramazzotti, G Caravagna, L De Sano, ... International Meeting on Computational Intelligence Methods for …, 2019 | | 2019 |