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2020 – today
- 2023
[j3]Andrea Tangherloni
, Simone G. Riva, Brynelle Myers, Francesca M. Buffa, Paolo Cazzaniga:
MAGNETO: Cell type marker panel generator from single-cell transcriptomic data. J. Biomed. Informatics 147: 104510 (2023)- [c6]Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Francesca M. Buffa, Andrea Tangherloni:
Consensus Clustering Strategy for Cell Type Assignments of scRNA-seq Data. CIBCB 2023: 1-8 - 2022
- [j2]M. E. Nelson, Simone G. Riva, Ana Cvejic:
SMaSH: a scalable, general marker gene identification framework for single-cell RNA-sequencing. BMC Bioinform. 23(1): 328 (2022) - [j1]Simone G. Riva, Paolo Cazzaniga, Marco S. Nobile, Simone Spolaor, Leonardo Rundo, Daniela Besozzi, Andrea Tangherloni:
SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks. Symmetry 14(1): 119 (2022) - [c5]Chiara Gallese, Caro Fuchs, Simone G. Riva, Emanuela Foglia, Fabrizio Schettini, Lucrezia Ferrario, Elena Falletti, Marco S. Nobile:
Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. CIBCB 2022: 1-9 - [c4]Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Andrea Tangherloni:
A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data. CIBCB 2022: 1-8 - [c3]Andrea Tangherloni, Simone G. Riva, Brynelle Myers, Paolo Cazzaniga:
Multi-objective Optimization for Marker Panel Identification in Single-cell Data. CIBCB 2022: 1-8 - 2021
- [c2]Simone G. Riva, Paolo Cazzaniga, Andrea Tangherloni:
Integration of Multiple scRNA-Seq Datasets on the Autoencoder Latent Space. BIBM 2021: 2155-2162 - [c1]Andrea Tangherloni, Simone G. Riva, Simone Spolaor, Daniela Besozzi, Marco S. Nobile, Paolo Cazzaniga:
The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data. CEC 2021: 1423-1430
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