Simone G. Riva

According to our database, Simone G. Riva authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Modelling constant and cell-type specific CTCF sites by using Convolutional Neural Networks.

Edward Sanders, Simone G. Riva, Emily Georgiades, Matthew Baxter, Jim R. Hughes

Proceedings of the International Joint Conference on Neural Networks, 2025

REnformer, a single-cell ATAC-seq predicting model to investigate open chromatin sites.

Simone G. Riva, Edward Sanders, Tom Wilson, Nicolò Stranieri, E. Ravza Gür, Matthew Baxter, Jim R. Hughes

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2025

GENESIS: Generating scRNA-Seq data from Multiome Gene Expression.

Simone G. Riva, Brynelle Myers, Francesca M. Buffa, Andrea Tangherloni

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2025

2023

MAGNETO: Cell type marker panel generator from single-cell transcriptomic data.

Andrea Tangherloni, Simone G. Riva, Brynelle Myers, Francesca M. Buffa, Paolo Cazzaniga

J. Biomed. Informatics, November, 2023

Consensus Clustering Strategy for Cell Type Assignments of scRNA-seq Data.

Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Francesca M. Buffa, Andrea Tangherloni

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022

SMaSH: a scalable, general marker gene identification framework for single-cell RNA-sequencing.

M. E. Nelson, Simone G. Riva, Ana Cvejic

BMC Bioinform., December, 2022

SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks.

Simone G. Riva, Paolo Cazzaniga, Marco S. Nobile, Simone Spolaor, Leonardo Rundo, Daniela Besozzi, Andrea Tangherloni

Symmetry, 2022

Multi-objective Optimization for Marker Panel Identification in Single-cell Data.

Andrea Tangherloni, Simone G. Riva, Brynelle Myers, Paolo Cazzaniga

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data.

Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Andrea Tangherloni

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications.

Chiara Gallese, Caro Fuchs, Simone G. Riva, Emanuela Foglia, Fabrizio Schettini, Lucrezia Ferrario, Elena Falletti, Marco S. Nobile

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

2021

The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data.

Andrea Tangherloni, Simone G. Riva, Simone Spolaor, Daniela Besozzi, Marco S. Nobile, Paolo Cazzaniga

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Integration of Multiple scRNA-Seq Datasets on the Autoencoder Latent Space.

Simone G. Riva, Paolo Cazzaniga, Andrea Tangherloni

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021