| GASOLINE: a greedy and stochastic algorithm for optimal local multiple alignment of interaction networks G Micale, A Pulvirenti, R Giugno, A Ferro PLoS One 9 (6), e98750, 2014 | 42 | 2014 |
| Fast analytical methods for finding significant labeled graph motifs G Micale, R Giugno, A Ferro, M Mongiovì, D Shasha, A Pulvirenti Data Mining and Knowledge Discovery 32, 504-531, 2018 | 28 | 2018 |
| SPECTRA: an integrated knowledge base for comparing tissue and tumor-specific PPI networks in human G Micale, A Ferro, A Pulvirenti, R Giugno Frontiers in Bioengineering and Biotechnology 3, 58, 2015 | 21 | 2015 |
| NetMatchStar: an enhanced Cytoscape network querying app F Rinnone, G Micale, V Bonnici, GD Bader, D Shasha, A Ferro, ... F1000Research 4, 2015 | 19 | 2015 |
| Mining and ranking of generalized multi-dimensional frequent subgraphs A Petermann, G Micale, G Bergami, A Pulvirenti, E Rahm 2017 Twelfth International Conference on Digital Information Management …, 2017 | 13 | 2017 |
| GASOLINE: a Cytoscape app for multiple local alignment of PPI networks G Micale, A Continella, A Ferro, R Giugno, A Pulvirenti F1000Research 3, 2014 | 13 | 2014 |
| APPAGATO: an APproximate PArallel and stochastic GrAph querying TOol for biological networks V Bonnici, F Busato, G Micale, N Bombieri, A Pulvirenti, R Giugno Bioinformatics 32 (14), 2159-2166, 2016 | 11 | 2016 |
| TemporalRI: a subgraph isomorphism algorithm for temporal networks G Locicero, G Micale, A Pulvirenti, A Ferro Complex Networks & Their Applications IX: Volume 2, Proceedings of the Ninth …, 2021 | 9 | 2021 |
| Multiri: Fast subgraph matching in labeled multigraphs G Micale, V Bonnici, A Ferro, D Shasha, R Giugno, A Pulvirenti arXiv preprint arXiv:2003.11546, 2020 | 9 | 2020 |
| University of Catania, Department of Clinical and Molecular Biomedicine (MEDBIO) A Ferro, A Pulvirenti, S Alaimo, G Micale, GP Marceca, E Sciacca, ... Alfredo-Ferro, 2021 | 7 | 2021 |
| Fast methods for finding significant motifs on labelled multi-relational networks G Micale, A Pulvirenti, A Ferro, R Giugno, D Shasha Journal of Complex Networks 7 (6), 817-837, 2019 | 7 | 2019 |
| Computational methods to Investigate the Impact of miRNAs on pathways S Alaimo, G Micale, A La Ferlita, A Ferro, A Pulvirenti MicroRNA Target Identification: Methods and Protocols, 183-209, 2019 | 7 | 2019 |
| glabtrie: A data structure for motif discovery with constraints M Mongioví, G Micale, A Ferro, R Giugno, A Pulvirenti, D Shasha Graph Data Management: Fundamental Issues and Recent Developments, 71-95, 2018 | 7 | 2018 |
| Proteins comparison through probabilistic optimal structure local alignment G Micale, A Pulvirenti, R Giugno, A Ferro Frontiers in Genetics 5, 302, 2014 | 7 | 2014 |
| TemporalRI: subgraph isomorphism in temporal networks with multiple contacts G Micale, G Locicero, A Pulvirenti, A Ferro Applied Network Science 6 (1), 55, 2021 | 6 | 2021 |
| Next generation sequencing in a cohort of patients with rare sarcoma histotypes: A single institution experience E Tirro, F Martorana, G Micale, N Inzerilli, R Carciotto, C Romano, ... Pathology-Research and Practice 232, 153820, 2022 | 4 | 2022 |
| Modit: motif discovery in temporal networks R Grasso, G Micale, A Ferro, A Pulvirenti Frontiers in big Data 4, 806014, 2022 | 4 | 2022 |
| Fast subgraph matching strategies based on pattern-only heuristics A Aparo, V Bonnici, G Micale, A Ferro, D Shasha, A Pulvirenti, R Giugno Interdisciplinary Sciences: Computational Life Sciences 11, 21-32, 2019 | 4 | 2019 |
| Mechanistic Translation of Melanoma Genetic Landscape in Enriched Pathways and Oncogenic Protein-Protein Interactions M Massimino, S Stella, G Micale, L Motta, G Pavone, G Broggi, ... Cancer Genomics & Proteomics 19 (3), 350-361, 2022 | 3 | 2022 |
| Establish the expected number of induced motifs on unlabeled graphs through analytical models E Martorana, G Micale, A Ferro, A Pulvirenti Applied Network Science 5 (1), 58, 2020 | 3 | 2020 |
