Valentina Giansanti

发表

Fast analysis of scATAC-seq data using a predefined set of genomic regions.

Davide Cittaro, Ming Tang, Valentina Giansanti, 2020, F1000Research.

Chromatin Velocity reveals epigenetic dynamics by single-cell profiling of heterochromatin and euchromatin

G. Tonon, D. Lazarević, G. Martino, 2021, Nature Biotechnology.

Nested Stochastic Block Models applied to the analysis of single cell data

Leonardo Morelli, Valentina Giansanti, Davide Cittaro, 2020, BMC Bioinformatics.

Integration of Machine Learning Methods to Dissect Genetically Imputed Transcriptomic Profiles in Alzheimer’s Disease

Simeon E. Spasov, Ivan Merelli, Giovanna Maria Dimitri, 2019, Front. Genet..

Fast analysis of scATAC-seq data using a predefined set of genomic regions

Ming Tang, Valentina Giansanti, Davide Cittaro, 2020, F1000Research.

Comparing Deep and Machine Learning Approaches in Bioinformatics: A miRNA-Target Prediction Case Study

Ivan Merelli, Stefano Beretta, Mauro Castelli, 2019, ICCS.

SoC-based computing infrastructures for scientific applications and commercial services: Performance and economic evaluations

Andrea Clematis, Ivan Merelli, Daniele D'Agostino, 2019, Future Gener. Comput. Syst..

Scalable Integration of Multiomic Single Cell Data Using Generative Adversarial Networks

G. Tonon, M. Antoniotti, C. Balestrieri, 2023, bioRxiv.

Computing Empirical P-Values for Estimating Gene-Gene Interactions in Genome-Wide Association Studies: A Parallel Computing Approach

Ivan Merelli, Daniele D'Agostino, Stefano Beretta, 2018, 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

Improving eQTL Analysis Using a Machine Learning Approach for Data Integration: A Logistic Model Tree Solution

Ivan Merelli, Stefano Beretta, Mauro Castelli, 2018, J. Comput. Biol..

Parallel Computing in Deep Learning: Bioinformatics Case Studiesa

Ivan Merelli, Daniele D'Agostino, Daniele Cesini, 2019, 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).