Systematic inference and comparison of multi-scale chromatin sub-compartments connects spatial organization to cell phenotypes Y Liu, L Nanni, S Sungalee, M Zufferey, D Tavernari, M Mina, S Ceri, ... Nature communications 12 (1), 2439, 2021 | 75 | 2021 |
Spatial patterns of CTCF sites define the anatomy of TADs and their boundaries L Nanni, S Ceri, C Logie Genome biology 21, 1-25, 2020 | 71 | 2020 |
Processing of big heterogeneous genomic datasets for tertiary analysis of Next Generation Sequencing data M Masseroli, A Canakoglu, P Pinoli, A Kaitoua, A Gulino, O Horlova, ... Bioinformatics 35 (5), 729-736, 2019 | 66 | 2019 |
Crosswalk recognition through point-cloud processing and deep-learning suited to a wearable mobility aid for the visually impaired M Poggi, L Nanni, S Mattoccia New Trends in Image Analysis and Processing--ICIAP 2015 Workshops: ICIAP …, 2015 | 42 | 2015 |
Extensive epigenomic integration of the glucocorticoid response in primary human monocytes and in vitro derived macrophages C Wang, L Nanni, B Novakovic, W Megchelenbrink, T Kuznetsova, ... Scientific reports 9 (1), 2772, 2019 | 37 | 2019 |
Metadata management for scientific databases P Pinoli, S Ceri, D Martinenghi, L Nanni Information Systems 81, 1-20, 2019 | 31 | 2019 |
Whole-genome doubling drives oncogenic loss of chromatin segregation RA Lambuta, L Nanni, Y Liu, J Diaz-Miyar, A Iyer, D Tavernari, ... Nature 615 (7954), 925-933, 2023 | 24 | 2023 |
Investigating deep learning based breast cancer subtyping using pan-cancer and multi-omic data F Cristovao, S Cascianelli, A Canakoglu, M Carman, L Nanni, P Pinoli, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (1 …, 2020 | 22 | 2020 |
PyGMQL: scalable data extraction and analysis for heterogeneous genomic datasets L Nanni, P Pinoli, A Canakoglu, S Ceri BMC bioinformatics 20, 1-11, 2019 | 20 | 2019 |
Overview of GeCo: a project for exploring and integrating signals from the genome S Ceri, A Bernasconi, A Canakoglu, A Gulino, A Kaitoua, M Masseroli, ... Data Analytics and Management in Data Intensive Domains: XIX International …, 2018 | 17 | 2018 |
Federated sharing and processing of genomic datasets for tertiary data analysis A Canakoglu, P Pinoli, A Gulino, L Nanni, M Masseroli, S Ceri Briefings in Bioinformatics 22 (3), bbaa091, 2021 | 10 | 2021 |
The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles J Schreiber, C Boix, J wook Lee, H Li, Y Guan, CC Chang, JC Chang, ... Genome biology 24 (1), 79, 2023 | 9 | 2023 |
Designing and evaluating deep learning models for cancer detection on gene expression data A Canakoglu, L Nanni, A Sokolovsky, S Ceri International meeting on computational intelligence methods for …, 2018 | 8* | 2018 |
Exploring genomic datasets: From batch to interactive and back L Nanni, P Pinoli, A Canakoglu, S Ceri Proceedings of the 5th International Workshop on Exploratory Search in …, 2018 | 7 | 2018 |
Exploring chromatin conformation and gene co-expression through graph embedding M Varrone, L Nanni, G Ciriello, S Ceri Bioinformatics 36 (Supplement_2), i700-i708, 2020 | 5 | 2020 |
A Python Data Analysis Library for Genomics and its Application to biology L Nanni Politecnico di Milano, 2017 | 3 | 2017 |
The CTCF anatomy of topologically associating domains L Nanni, C Wang, F Manders, L Groh, P Haro, R Oldenkamp, S Ceri, ... bioRxiv, 746610, 2019 | 2 | 2019 |
Computational Inference of DNA Folding Principles: From Data Management to Machine Learning L Nanni Special Topics in Information Technology, 79-88, 2022 | | 2022 |
Ensemble Feature Selection for Single Cell Chromatin Conformation Analysis A Rouhi, L Nanni, A Canakoglu, P Pinoli, S Ceri Proceedings of the 2021 13th International Conference on Bioinformatics and …, 2021 | | 2021 |
Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping S Cascianelli, F Cristovao, A Canakoglu, M Carman, L Nanni, P Pinoli, ... Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2020 | | 2020 |