Giovanni Micale
Giovanni Micale
Research Fellow, Department of Clinical and Experimental Medicine, University of Catania
Verified email at dmi.unict.it - Homepage
Title
Cited by
Cited by
Year
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
322014
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
162015
Fast analytical methods for finding significant labeled graph motifs
G Micale, R Giugno, A Ferro, M Mongiově, D Shasha, A Pulvirenti
Data Mining and Knowledge Discovery 32 (2), 504-531, 2018
152018
NetMatchStar: an enhanced Cytoscape network querying app
F Rinnone, G Micale, V Bonnici, GD Bader, D Shasha, A Ferro, ...
F1000Research 4, 2015
132015
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
102016
GASOLINE: a Cytoscape app for multiple local alignment of PPI networks
G Micale, A Continella, A Ferro, R Giugno, A Pulvirenti
F1000Research 3, 2014
102014
Proteins comparison through probabilistic optimal structure local alignment
G Micale, A Pulvirenti, R Giugno, A Ferro
Frontiers in genetics 5, 302, 2014
62014
Simple pattern-only heuristics lead to fast subgraph matching strategies on very large networks
A Aparo, V Bonnici, G Micale, A Ferro, D Shasha, A Pulvirenti, R Giugno
International Conference on Practical Applications of Computational Biology …, 2018
32018
glabtrie: A data structure for motif discovery with constraints
M Mongioví, G Micale, A Ferro, R Giugno, A Pulvirenti, D Shasha
Graph Data Management, 71-95, 2018
32018
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3
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
22019
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
22017
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 (1), 21-32, 2019
12019
Computational Methods to Investigate the Impact of miRNAs on Pathways
S Alaimo, G Micale, A La Ferlita, A Ferro, A Pulvirenti
MicroRNA Target Identification, 183-209, 2019
12019
INBIA: a boosting methodology for proteomic network inference
DS Sardina, G Micale, A Ferro, A Pulvirenti, R Giugno
BMC bioinformatics 19 (7), 188, 2018
12018
Correlation between proteomic network inference and protein-protein interaction networks
DS Sardina, G Micale, A Ferro, A Pulvirenti, R Giugno
Proc. 13th International Conferenceon on Computational Intelligence Methods …, 2016
12016
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
2020
Establish the Expected Number of Injective Motifs on Unlabeled Graphs Through Analytical Models
E Martorana, G Micale, A Ferro, A Pulvirenti
International Conference on Complex Networks and Their Applications, 255-267, 2019
2019
networks [version 1; peer review: 3 approved with reservations]
G Micale, A Continella, A Ferro, R Giugno, A Pulvirenti
2014
Supplementary File INBIA: a boosting methodology for proteomic network inference
DS Sardina, G Micale, A Ferro, A Pulvirenti, R Giugno
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Articles 1–20