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Mostrati risultati da 1 a 9 di 9
Scalable integration of Multiomic single cell data using Generative Adversarial Networks
In corso di stampa Giansanti, V; Antoniotti, M; Cittaro, D
Integration of heterogeneous single cell data with Wasserstein Generative Adversarial Networks
2023 Giansanti, V
Scalable Integration of Multiomic Single Cell Data Using Generative Adversarial Networks
2023 Giansanti, V; Giannese, F; Botrugno, O; Gandolfi, G; Balestrieri, C; Antoniotti, M; Tonon, G; Cittaro, D
Scalable integration of multiomic single cell data using Generative Adversarial Networks
2022 Giansanti, V; Morelli, L; Tonon, G; Cittaro, D
Chromatin Velocity reveals epigenetic dynamics by single-cell profiling of heterochromatin and euchromatin
2022 Tedesco, M; Giannese, F; Lazarević, D; Giansanti, V; Rosano, D; Monzani, S; Catalano, I; Grassi, E; Zanella, E; Botrugno, O; Morelli, L; Panina Bordignon, P; Caravagna, G; Bertotti, A; Martino, G; Aldrighetti, L; Pasqualato, S; Trusolino, L; Cittaro, D; Tonon, G
Nested Stochastic Block Models applied to the analysis of single cell data
2021 Morelli, L; Giansanti, V; Cittaro, D
Fast analysis of scATAC-seq data using a predefined set of genomic regions
2020 Cittaro, D; Giansanti, V; Tang, M
Comparing Deep and Machine Learning Approaches in Bioinformatics: A miRNA-Target Prediction Case Study
2019 Giansanti, V; Castelli, M; Beretta, S; Merelli, I
Parallel Computing in Deep Learning: Bioinformatics Case Studiesa
2019 Giansanti, V; Beretta, S; Cesini, D; D'Agostino, D; Merelli, I
Mostrati risultati da 1 a 9 di 9
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