Massimino M, Stella S, Micale G, Motta L, Pavone G, Broggi G, Piombino E, Magro G, Soto Parra HJ, Manzella L, Vigneri P. Mechanistic translation of melanoma genetic landscape in enriched pathways and oncogenic protein-protein interactions. Cancer Genomics & Proteomics, 19(3) pp. 350-361, doi:10.21873/cgp.20325
Tirrò E, Martorana F, Micale G, Inzerilli N, Carciotto R, Romano C, Longhitano C, Motta G, Lanzafame K, Stella S, Massimino M, Vitale SR, Salvatorelli L, Magro G, Manzella L, Vigneri P (2022). Next generation sequencing in a cohort of patients with rare sarcoma histotypes: a single institution experience. Pathology - Research and Practice, 232 pp. 153820, doi:10.1016/j.prp.2022.153820
Grasso R, Micale G, Ferro A, Pulvirenti A (2022). MODIT: MOtif DIscovery in Temporal Networks. Frontiers in Big Data, 4, doi:10.3389/fdata.2021.806014
Micale G, Locicero G, Pulvirenti A, Ferro A (2021). TemporalRI: subgraph isomorphism in temporal networks with multiple contacts. Applied Network Science, 6(55), doi:10.1007/s41109-021-00397-0
Martorana E, Micale G, Ferro A, Pulvirenti A (2020). Establish the expected number of induced motifs on unlabeled graphs through analytical models. Applied Network Science, 5(58), doi:10.1007/s41109-020-00294-y
Micale G, Pulvirenti A, Ferro A, Giugno R, Shasha D (2019). Fast methods for finding significant motifs on labelled multi-relational networks. Journal of Complex Networks, doi:10.1093/comnet/cnz008
Aparo A, Bonnici V, Micale G, Ferro A, Shasha D, Pulvirenti A, Giugno R (2019). Fast subgraph matching strategies based on pattern-only heuristics. Interdisciplinary Sciences Computational Life Sciences, 11(1) pp. 21-32, doi:10.1007/s12539-019-00323-0
Sardina DS, Micale G, Ferro A, Pulvirenti A, Giugno R (2018). INBIA: a boosting methodology for proteomic network inference. BMC Bioinformatics, 19(7) pp. 188, doi:10.1186/s12859-018-2183-5
Micale G, Giugno R, Ferro A, Mongiovì M, Shasha D, Pulvirenti A (2018). Fast analytical methods for finding significant labeled graph motifs. Data Mining and Knowledge Discovery, 32(2) pp. 1-28, doi:10.1007/s10618-017-0544-8
Bonnici V, Busato F, Micale G, Bombieri N, Pulvirenti A, Giugno R (2016). APPAGATO: an Approximate Parallel and stochastic GrAph querying Tool for biological networks. Bioinformatics 32(14) pp. 2159-2166, doi: 10.1093/bioinformatics/btw223
Rinnone F, Micale G, Bonnici V, Bader G D, Shasha D, Ferro F, Pulvirenti A, Giugno R (2015). NetMatchStar: an enhanced Cytoscape network querying app. F1000Research 4(479), doi: 10.12688/f1000research.6656.1
Micale G, Ferro A, Pulvirenti A, Giugno R (2015). SPECTRA: an integrated knowledge base for comparing tissue and tumor-specific PPI networks in human. Frontiers in Bioengineering and Biotechnology 3(58), doi: 10.3389/fbioe.2015.00058
Micale G, Pulvirenti A, Giugno R, Ferro A (2014). Proteins comparison through probabilistic optimal structure local alignment. Frontiers in Genetics 5(302), doi: 10.3389/fgene.2014.00302
Micale G, Continella A, Ferro A, Giugno R, Pulvirenti A (2014). GASOLINE: a Cytoscape app for multiple local alignment of PPI networks [v2; ref status: indexed, http://f1000r.es/4f7]. F1000Research 3(140), doi:10.12688/f1000research.4537.2
Micale G, Pulvirenti A, Giugno R, Ferro A (2014). GASOLINE: a Greedy And Stochastic algorithm for Optimal Local multiple alignment of Interaction NEtworks. PLoS ONE 9(6): e98750. doi: 10.1371/journal.pone.0098750
Alaimo S, Micale G, La Ferlita A, Ferro A, Pulvirenti A (2019). Computational methods to investigate the impact of miRNAs on pathways. Methods in molecular biology (Clifton, N.J.), Springer, 1970, pp. 183-209, doi:10.1007/978-1-4939-9207-2_11
Mongiovì M, Micale G, Ferro A, Giugno R, Pulvirenti A, Shasha D (2016). gLabTrie: a data structure for motif discovery with constraints. Graph Data Management: Fundamental Issues and Recent Developments, Springer, pp. 71-95, doi:10.1007/978-3-319-96193-4_3
Locicero G, Micale G, Pulvirenti A, Ferro A (2021). TemporalRI: A Subgraph Isomorphism Algorithm for Temporal Networks. International Conference on Complex Networks and Their Applications, (Complex Networks 2020), pp. 675-687
Martorana M, Micale G, Ferro A, Pulvirenti A (2019). Establish the expected number of injective motifs on unlabeled graphs through analytical models. International Conference on Complex Networks and Their Applications (Complex Networks 2019), pp. 255-267
Aparo A, Bonnici V, Micale G, Ferro A, Shasha D, Pulvirenti A, Giugno R (2018). Simple Pattern-only Heuristics Lead to Fast Subgraph Matching Strategies on Very Large Networks. International Conference on Practical Applications of Computational Biology and Bioinformatics, pp. 131-138
Petermann A, Micale G, Bergami G, Rahm E (2017). Mining and ranking of generalized multi-dimensional frequent subgraphs. Digital Information Management (ICDIM) 2017, pp. 236-245
Sardina DS, Micale G, Ferro A, Giugno R (2016). Correlation between Proteomic Network Inference and Protein-Protein Interaction Networks. CIBB 2016 Main Track. Stirling 1-3 September 2016
Micale G, Bonnici V, Ferro A, Shasha D, Giugno R, Pulvirenti A (2020). MultiRI: fast subgraph matching in labeled multigraphs. arXiv:2003.11546 [cs.DB]