Using semantic similarity to detect features in yeast protein complexes. - Pietro Hiram Guzzi; Marianna Milano; Pierangelo Veltri; Mario Cannataro (BIBM Workshops, 2011)

Modularity and community detection in Semantic Similarity Networks trough Spectral Based Transformation and Markov Clustering. - Pietro Hiram Guzzi; Simone Truglia; Marianna Milano; Pierangelo Veltri; Mario Cannataro (BCB, 2013)

A web-based tool to analyze semantic similarity networks. - Marianna Milano; Pietro Hiram Guzzi; Pierangelo Veltri; Mario Cannataro (BCB, 2014)

Improving annotation quality in gene ontology by mining cross-ontology weighted association rules. - Giuseppe Agapito; Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (BIBM, 2014)

Biases in information content measurement of gene ontology terms. - Marianna Milano; Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (BIBM, 2014)

GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations. - Giuseppe Agapito; Mario Cannataro; Pietro Hiram Guzzi; Marianna Milano (CIBB, 2014)

Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents. - Giuseppe Agapito; Barbara Calabrese; Ilaria Care; Daniela Falcone; Pietro Hiram Guzzi; Nicola Ielpo; Theodora Lamprinoudi; Marianna Milano; Mariadelina Simeoni; Mario Cannataro (HPCS, 2014)

Mining Association Rules from Gene Ontology and Protein Networks: Promises and Challenges. - Pietro Hiram Guzzi; Marianna Milano; Mario Cannataro (ICCS, 2014)

Efficient learning of association rules from human phenotype ontology. - Giuseppe Agapito; Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (BCB, 2015)

Towards the assessment of GRN algorithms based on (disease) ontology. - Pietro Hiram Guzzi; Marianna Milano; Swarup Roy (BCB, 2015)

Using GO-WAR for mining cross-ontology weighted association rules. - Giuseppe Agapito; Mario Cannataro; Pietro Hiram Guzzi; Marianna Milano (Comput. Methods Programs Biomed., 2015)

GoD: An R-package based on ontologies for prioritization of genes with respect to diseases. - Mario Cannataro; Pietro Hiram Guzzi; Marianna Milano (J. Comput. Sci., 2015)

Using SSN-Analyzer for analysis of semantic similarity networks. - Pietro Hiram Guzzi; Marianna Milano; Pierangelo Veltri; Mario Cannataro (Netw. Model. Anal. Health Informatics Bioinform., 2015)

Using Network Alignment for Analysis of Connectomes: Experiences from a Clinical Dataset. - Marianna Milano; Olga Tymofiyeva; Duan Xu; Christopher Paul Hess; Mario Cannataro; Pietro Hiram Guzzi (BCB, 2016)

GLAlign: Using global graph alignment to improve local graph alignment. - Marianna Milano; Mario Cannataro; Pietro Hiram Guzzi (BIBM, 2016)

Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine. - Pietro Hiram Guzzi; Giuseppe Agapito; Marianna Milano; Mario Cannataro (Briefings Bioinform., 2016)

Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations. - Giuseppe Agapito; Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Using Multi Network Alignment for Analysis of Connectomes. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (ICCS, 2017)

An extensive assessment of network alignment algorithms for comparison of brain connectomes. - Marianna Milano; Pietro Hiram Guzzi; Olga Tymofiyeva; Duan Xu; Christopher Paul Hess; Pierangelo Veltri; Mario Cannataro (BMC Bioinform., 2017)

HetNetAligner: A Novel Algorithm for Local Alignment of Heterogeneous Biological Networks. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (BCB, 2018)

Towards Heterogeneous Network Alignment: Design and Implementation of a Large-Scale Data Processing Framework. - Marianna Milano; Pierangelo Veltri; Mario Cannataro; Pietro Hiram Guzzi (Euro-Par Workshops, 2018)

HetNetAligner: Design and Implementation of an algorithm for heterogeneous network alignment on Apache Spark. - Pietro Hiram Guzzi; Marianna Milano; Pierangelo Veltri; Mario Cannataro (CoRR, 2018)

An experimental study of information content measurement of gene ontology terms. - Marianna Milano; Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (Int. J. Mach. Learn. Cybern., 2018)

Towards Local Alignment of Multiple Networks: Multi-GLAlign. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (BCB, 2019)

Mining Association Rules From Disease Ontology. - Giuseppe Agapito; Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (BIBM, 2019)

Learning Weighted Association Rules in Human Phenotype Ontology. - Giuseppe Agapito; Mario Cannataro; Pietro H. Guzzi; Marianna Milano (CIBB, 2019)

Parallel Learning of Weighted Association Rules in Human Phenotype Ontology. - Giuseppe Agapito; Mario Cannataro; Pietro Hiram Guzzi; Marianna Milano (Euro-Par Workshops, 2019)

Using multiple network alignment for studying connectomes. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (Netw. Model. Anal. Health Informatics Bioinform., 2019)

Network building and analysis in connectomics studies: a review of algorithms, databases and technologies. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (Netw. Model. Anal. Health Informatics Bioinform., 2019)

GLAlign: A Novel Algorithm for Local Network Alignment. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Computing Languages for Bioinformatics: R. - Marianna Milano (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Tools for Semantic Analysis Based on Semantic Similarity. - Marianna Milano (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Gene Prioritization Tools. - Marianna Milano (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

A New Parallel Methodology for the Network Analysis of COVID-19 Data. - Giuseppe Agapito; Marianna Milano; Mario Cannataro (Euro-Par Workshops, 2020)

SL-GLAlign: improving local alignment of biological networks through simulated annealing. - Marianna Milano; Wayne B. Hayes; Pierangelo Veltri; Mario Cannataro; Pietro Hiram Guzzi (Netw. Model. Anal. Health Informatics Bioinform., 2020)

CCTV: a new network-based methodology for the analysis and visualization of COVID-19 data. - Marianna Milano (BIBM, 2021)

A novel network-based methodology for analysis of COVID-19 data. - Marianna Milano; Mario Cannataro (SEBD, 2021)

COVID-19 Community Temporal Visualizer: a new methodology for the network-based analysis and visualization of COVID-19 data. - Marianna Milano; Chiara Zucco; Mario Cannataro (Netw. Model. Anal. Health Informatics Bioinform., 2021)

A statistical network pre-processing method to improve relevance and significance of gene lists in microarray gene expression studies. - Giuseppe Agapito; Marianna Milano; Mario Cannataro (BMC Bioinform., 2022)

Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (Entropy, 2022)

An Extensive Assessment of Network Embedding in PPI Network Alignment. - Marianna Milano; Chiara Zucco; Marzia Settino; Mario Cannataro (Entropy, 2022)

Parallel Network Analysis and Communities Detection (PANC) Pipeline for the Analysis and Visualization of COVID-19 Data. - Giuseppe Agapito; Marianna Milano; Mario Cannataro (Parallel Process. Lett., 2022)

Use Predictive Learning Model to Tackle Data Breaches in Healthcare Domain. - Giuseppe Agapito; Mario Cannataro; Pietro Cinaglia; Gaetano Guardasole; Marianna Milano (BIBM, 2023)

Visualization of Multilayer Networks. - Ilaria Lazzaro; Marianna Milano (NUMTA (3), 2023)

MuLaN: a MultiLayer Networks Alignment Algorithm. - Marianna Milano; Pietro Cinaglia; Pietro Hiram Guzzi; Mario Cannataro (CoRR, 2023)

Network models in bioinformatics: modeling and analysis for complex diseases. - Marianna Milano; Mario Cannataro (Briefings Bioinform., 2023)

Multilayer network alignment based on topological assessment via embeddings. - Pietro Cinaglia; Marianna Milano; Mario Cannataro (BMC Bioinform., 2023)

Dense subgraphs in temporal social networks. - Riccardo Dondi; Pietro Hiram Guzzi; Mohammad Mehdi Hosseinzadeh; Marianna Milano (Soc. Netw. Anal. Min., 2023)

Modeling UGT2B7 and NR1I3 genes through multilayer network to highlight hidden link with taxane neurotoxicity. - Giuseppe Agapito; Marianna Milano; Francesca Scionti; Nicoletta Staropoli; Pierfrancesco Tassone; Pierosandro Tagliaferri; Mario Cannataro; Mariamena Arbitrio (BIBM, 2024)

A Graph Neural Network based fMRI classification. - Luca Barillaro; Marianna Milano; Giuseppe Agapito; Mario Cannataro (BIBM, 2024)

Exploring Network Curvature Differences in Gene Expression Networks. - Pietro Hiram Guzzi; Marianna Milano (BIBM, 2024)

A Multilayer Network-Based Method for Brain Connectivity Analysis from EEG Data. - Ilaria Lazzaro; Marianna Milano; Chiara Zucco; Miriam Sturniolo; Franco Pucci; Antonio Gambardella; Mario Cannataro (BIBM, 2024)

Visualization of Comorbidities in Inflammatory Bowel Diseases through Networks. - Rosarina Vallelunga; Marianna Milano; Rocco Spagnuolo; Lidia Giubilei; Evelina Suraci; Mario Cannataro; Francesco Luzza (BIBM, 2024)

A Graph-Theory Based fMRI Analysis. - Luca Barillaro; Marianna Milano; Maria Eugenia Caligiuri; Jelle R. Dalenberg; Giuseppe Agapito; Michael Biehl; Mario Cannataro (ICCS (6), 2024)

A Method for Inferring Candidate Disease-Disease Associations. - Pietro Cinaglia; Marianna Milano (ICCS (4), 2024)

A Pipeline for the Analysis of Multilayer Brain Networks. - Ilaria Lazzaro; Marianna Milano; Mario Cannataro (ICCS (6), 2024)

Multilayer Networks: A Survey on Models, Analysis of Algorithms and Database. - Marianna Milano; Ilaria Lazzaro; Mario Cannataro (IWBBIO (1), 2024)

Non parametric differential network analysis: a tool for unveiling specific molecular signatures. - Pietro Hiram Guzzi; Arkaprava Roy; Marianna Milano; Pierangelo Veltri (BMC Bioinform., 2024)

A Machine Learning-Based Framework for Predicting Candidate Drug Side Effects from Biological Networks. - Pietro Cinaglia; Giulia Pingitore; Marianna Milano; Mario Cannataro (ICCS (Workshops 1), 2025)

Biological Community Detection with Graph Neural Network and Network Curvature Analysis on Gene Co-expression Networks. - Marianna Milano; Pietro Cinaglia; Mario Cannataro; Pietro Hiram Guzzi (ICCS (3), 2025)

A computational approach to study age-related modifications of the genes involved in Parkinson's disease. - Marianna Milano; Pietro Cinaglia; Pietro Hiram Guzzi; Mario Cannataro (Comput. Biol. Medicine, 2025)