ANTONIOTTI MARCO

Giansanti, V., Antoniotti, M., Cittaro, D. (In corso di stampa). Scalable integration of Multiomic single cell data using Generative Adversarial Networks. Intervento presentato a: 2022 European Human Genetics Conference (ESHG2022), Vienna, Austria - Hybrid Conference. Dettaglio

Giansanti, V., Giannese, F., Botrugno, O., Gandolfi, G., Balestrieri, C., Antoniotti, M., et al. (2023). Scalable Integration of Multiomic Single Cell Data Using Generative Adversarial Networks [Altro] [10.1101/2023.06.26.546547]. Dettaglio

Ascolani, G., Angaroni, F., Maspero, D., Craighero, F., Bhavesh, N., Piazza, R., et al. (2023). LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution. BMC BIOINFORMATICS, 24(1) [10.1186/s12859-023-05221-3]. Dettaglio

Patruno, L., Milite, S., Bergamin, R., Calonaci, N., D'Onofrio, A., Anselmi, F., et al. (2023). A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing. PLOS COMPUTATIONAL BIOLOGY, 19(11), 1-19 [10.1371/journal.pcbi.1011557]. Dettaglio

Craighero, F., Angaroni, F., Stella, F., Damiani, C., Antoniotti, M., Graudenzi, A. (2023). Unity is strength: Improving the detection of adversarial examples with ensemble approaches. NEUROCOMPUTING, 554(14 October 2023) [10.1016/j.neucom.2023.126576]. Dettaglio