Clustering XML Documents: a Distributed Collaborative Approach (Extended Abstract). - Sergio Greco; Francesco Gullo; Giovanni Ponti; Andrea Tagarelli; Giuseppe Agapito (SEBD, 2010)

DMET-Analyzer: automatic analysis of Affymetrix DMET Data. - Pietro Hiram Guzzi; Giuseppe Agapito; Maria Teresa Di Martino; Mariamena Arbitrio; Pierfrancesco Tassone; Pierosandro Tagliaferri; Mario Cannataro (BMC Bioinform., 2012)

Cloud4SNP: Distributed Analysis of SNP Microarray Data on the Cloud. - Giuseppe Agapito; Mario Cannataro; Pietro Hiram Guzzi; Fabrizio Marozzo; Domenico Talia; Paolo Trunfio (BCB, 2013)

Visualization of protein interaction networks: problems and solutions. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (BMC Bioinform., 2013)

Visual Data Mining of Biological Networks: One Size Does Not Fit All. - Chiara Pastrello; David Otasek; Kristen Fortney; Giuseppe Agapito; Mario Cannataro; Elize Shirdel; Igor Jurisica (PLoS Comput. Biol., 2013)

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

DMET-miner: Efficient learning of association rules from genotyping data for personalized medicine. - Pietro Hiram Guzzi; Giuseppe Agapito; Maria Teresa Di Martino; Mariamena Arbitrio; Pierfrancesco Tassone; Pierosandro Tagliaferri; 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)

coreSNP: Parallel Processing of Microarray Data. - Pietro Hiram Guzzi; Giuseppe Agapito; Mario Cannataro (IEEE Trans. Computers, 2014)

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

Overall Survival Analyzer: A software tool to analyze genotyping and clinical data enriched with temporal events. - Giuseppe Agapito; Pietro Hiram Guzzi; C. Botta; Mariamena Arbitrio; Pierfrancesco Tassone; Pierosandro Tagliaferri; Mario Cannataro (BIBM, 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)

DMET-Miner: Efficient discovery of association rules from pharmacogenomic data. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (J. Biomed. Informatics, 2015)

Computational challenges for sentiment analysis in life sciences. - F. Ciullo; Chiara Zucco; Barbara Calabrese; Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (HPCS, 2016)

Efficient Data Mining Analysis of Genomics and Clinical Data for Pharmacogenomics Applications. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (WILF, 2016)

DIETOS: A recommender system for adaptive diet monitoring and personalized food suggestion. - Giuseppe Agapito; Barbara Calabrese; Pietro Hiram Guzzi; Mario Cannataro; Mariadelina Simeoni; Ilaria Care; Theodora Lamprinoudi; Giorgio Fuiano; Arturo Pujia (WiMob, 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 GenotypeAnalytics to Analyze Pharmacogenomic Datasets. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (BCB, 2017)

A software pipeline for multiple microarray data analysis. - Giuseppe Agapito; Mario Cannataro (BIBM, 2017)

10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017. - Giuseppe Agapito; Mario Cannataro; Mauro Castelli; Riccardo Dondi; Italo Zoppis (ICCS, 2017)

High Performance Analysis of Omics Data: Experiences at University Magna Graecia of Catanzaro. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (HPCS, 2017)

Parallel and Cloud-Based Analysis of Omics Data: Modelling and Simulation in Medicine. - Giuseppe Agapito; Barbara Calabrese; Pietro Hiram Guzzi; Gionata Fragomeni; Giuseppe Tradigo; Pierangelo Veltri; Mario Cannataro (PDP, 2017)

Learning Association Rules for Pharmacogenomic Studies. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (NFMCP@PKDD/ECML, 2017)

DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases. - Giuseppe Agapito; Mariadelina Simeoni; Barbara Calabrese; Pietro Hiram Guzzi; Giorgio Fuiano; Mario Cannataro (HealthRecSys@RecSys, 2017)

Parallel and Distributed Analysis of Microarray Data. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (TopHPC, 2017)

GenotypeAnalytics: a RESTFul platform to mine multiple associations between SNPs and drug response in case-control studies. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (PeerJ Prepr., 2017)

Services4SNPs: A RESTful Platform for Association Rule Mining and Survival Analysis of Genotyping Data. - Giuseppe Agapito; Mario Cannataro (BCB, 2018)

ACM-BCB 2018 ParBio Chairs' Welcome & Organization. - Giuseppe Agapito; Wes Lloyd (BCB, 2018)

S4S: RESTful Services to Collect, Integrate and Analyze SNPs and Clinical Data on the Web. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (BIBM, 2018)

DIETOS: A dietary recommender system for chronic diseases monitoring and management. - Giuseppe Agapito; Mariadelina Simeoni; Barbara Calabrese; Ilaria Care; Theodora Lamprinoudi; Pietro Hiram Guzzi; Arturo Pujia; Giorgio Fuiano; Mario Cannataro (Comput. Methods Programs Biomed., 2018)

Editorial of the Special Issue of the 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC 2017. - Giuseppe Agapito; Mario Cannataro; Mauro Castelli; Riccardo Dondi; Italo Zoppis (Comput., 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)

A pipeline for mining association rules from large datasets of retailers invoices. - Giuseppe Agapito; Barbara Calabrese; Pietro Hiram Guzzi; Mario Cannataro (APPIS, 2019)

ParBio'19 - 8th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine. - Giuseppe Agapito; Wes Lloyd; Mario Cannataro (BCB, 2019)

Challenges and Opportunities of Amazon Serverless Lambda Services in Bioinformatics. - Rodrigo Crespo-Cepeda; Giuseppe Agapito; José Luis Vázquez-Poletti; Mario Cannataro (BCB, 2019)

Using GMQL-Web for Querying, Downloading and Integrating Public with Private Genomic Datasets. - Marzia Settino; Anna Bernasconi 002; Gaia Ceddia; Giuseppe Agapito; Marco Masseroli; Mario Cannataro (BCB, 2019)

Association Rule Mining from large datasets of clinical invoices document. - Giuseppe Agapito; Barbara Calabrese; Pietro Hiram Guzzi; Sabrina Graziano; Mario Cannataro (BIBM, 2019)

Pathway Analysis for SNP microarray data. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (BIBM, 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)

Parallel and Distributed Computing Methodologies in Bioinformatics. - Giuseppe Agapito (IDCS, 2019)

A Parallel Software Platform for Pathway Enrichment. - Giuseppe Agapito; Mario Cannataro (NUMTA(1), 2019)

Parallel extraction of association rules from genomics data. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (Appl. Math. Comput., 2019)

Standards and Models for Biological Data: SBML. - Giuseppe Agapito (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Standards and Models for Biological Data: BioPAX. - Giuseppe Agapito (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Computing Languages for Bioinformatics: Perl. - Giuseppe Agapito (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Computing Languages for Bioinformatics: BioPerl. - Giuseppe Agapito (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Biological Pathways. - Giuseppe Agapito (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Visualization of Biological Pathways. - Giuseppe Agapito (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Computing for Bioinformatics. - Mario Cannataro; Giuseppe Agapito (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Using BioPAX-Parser (BiP) to Annotate Lists of Biological Entities with Pathway Data. - Giuseppe Agapito; Mario Cannataro (ER (Workshops), 2020)

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

An efficient and scalable SPARK preprocessing methodology for Genome Wide Association Studies. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (PDP, 2020)

BioPAX-Parser: parsing and enrichment analysis of BioPAX pathways. - Giuseppe Agapito; Chiara Pastrello; Pietro Hiram Guzzi; Igor Jurisica; Mario Cannataro (Bioinform., 2020)

cPEA: a parallel method to perform pathway enrichment analysis using multiple pathways databases. - Giuseppe Agapito; Mario Cannataro (Soft Comput., 2020)

Sentiment analysis for mining texts and social networks data: Methods and tools. - Chiara Zucco; Barbara Calabrese; Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (WIREs Data Mining Knowl. Discov., 2020)

snpStorage: a database to store and share experimental SNPs data sets. - Giuseppe Agapito; Mario Cannataro (SEBD, 2021)

Comprehensive pathway enrichment analysis workflows: COVID-19 case study. - Giuseppe Agapito; Chiara Pastrello; Igor Jurisica (Briefings Bioinform., 2021)

Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data. - Giuseppe Agapito; Mario Cannataro (BMC Bioinform., 2021)

Parallel and distributed association rule mining in life science: A novel parallel algorithm to mine genomics data. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (Inf. Sci., 2021)

Identifying prognostic markers for multiple myeloma through integration and analysis of MMRF-CoMMpass data. - Marzia Settino; Mariamena Arbitrio; Francesca Scionti; Daniele Caracciolo; Giuseppe Agapito; Pierfrancesco Tassone; Pierosandro Tagliaferri; Maria Teresa Di Martino; Mario Cannataro (J. Comput. Sci., 2021)

Using Association Rules to Mine Actionable Knowledge from Internet of Medical Thinks Data. - Giuseppe Agapito (Integrating Artificial Intelligence and IoT for Advanced Health Informatics, 2022)

Scalable deep learning for healthcare: methods and applications. - Luca Barillaro; Giuseppe Agapito; Mario Cannataro (BCB, 2022)

Edge-based Deep Learning in Medicine: Classification of ECG signals. - Luca Barillaro; Giuseppe Agapito; Mario Cannataro (BIBM, 2022)

A parallel software pipeline to select relevant genes for pathway enrichment. - Giuseppe Agapito; Mario Cannataro (PDP, 2022)

Pathway integration and annotation: building a puzzle with non-matching pieces and no reference picture. - Giuseppe Agapito; Chiara Pastrello; Yun Niu; Igor Jurisica (Briefings Bioinform., 2022)

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)

Nine quick tips for pathway enrichment analysis. - Davide Chicco; Giuseppe Agapito (PLoS Comput. Biol., 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)

Artificial Intelligence to Analyze Huge Amounts of Juridical Documents via Edge Computing. - Gessica Fulciniti; Abdellah Kabli; Mario Cannataro; Gaetano Guardasole; Giuseppe Agapito (EWSN, 2023)

Deep Learning Methods for fMRI Classification. - Luca Barillaro; Giuseppe Agapito (NUMTA (3), 2023)

Using Edge-based Deep Learning Model for Early Detection of Cancer. - Luca Barillaro; Giuseppe Agapito; Mario Cannataro (PDP, 2023)

High performance deep learning libraries for biomedical applications. - Luca Barillaro; Giuseppe Agapito; Mario Cannataro (PDP, 2023)

An Overview on the Challenges and Limitations Using Cloud Computing in Healthcare Corporations. - Giuseppe Agapito; Mario Cannataro (Big Data Cogn. Comput., 2023)

13th Workshop on Parallel and AI-based Bioinformatics and Biomedicine (ParBio): Editorial. - Giuseppe Agapito; Mario Cannataro; Wes J. Lloyd; Chiara Zucco (BCB, 2024)

Multi Weighted Graphs as Magnifier to Discover Hidden Cross-Interactions among Biological Pathways. - Giuseppe Agapito; Mario Cannataro; Gaetano Guardasole (BIBM, 2024)

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)

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)

Efficient GPU Processing Method to Analyze Large GWAS Data Sets. - Giuseppe Agapito; Gaetano Guardasole; Mario Cannataro (PDP, 2024)

Editorial: Multi-omics approaches in the study of human disease mechanisms. - Dapeng Wang; Giuseppe Agapito (Frontiers Bioinform., 2024)

Comparative Analysis of Algorithms and Computational Architectures for Efficient Biological Data Processing. - Giuseppe Agapito; Gaetano Guardasole; Mario Cannataro (PDP, 2025)