M. Cannataro

发表

Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare

M. Cannataro, 2009 .

AlignNemo: A Local Network Alignment Method to Integrate Homology and Topology

M. Cannataro, G. Ciriello, Marco Mina, 2012, PloS one.

The EIPeptiDi tool: enhancing peptide discovery in ICAT-based LC MS/MS experiments

Mario Cannataro, Sergio Greco, Giuseppe Tradigo, 2007, BMC Bioinformatics.

Parallel and Cloud-Based Analysis of Omics Data: Modelling and Simulation in Medicine

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2017, 2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

Proteomic Profiling of Inherited Breast Cancer: Identification of Molecular Targets for Early Detection, Prognosis and Treatment, and Related Bioinformatics Tools

Mario Cannataro, Pierangelo Veltri, Giovanni Cuda, 2003, WIRN.

SpecDB: A Database for Storing and Managing Mass Spectrometry Proteomics Data

Mario Cannataro, Pierangelo Veltri, M. Cannataro, 2005, WILF.

Modeling and designing a proteomics application on PROTEUS.

M. Cannataro, P. Veltri, G. Cuda, 2005, Methods of information in medicine.

Experimental treatment of multiple myeloma in the era of precision medicine

M. Cannataro, P. Guzzi, P. Tassone, 2016 .

Integrated analysis of microRNAs, transcription factors and target genes expression discloses a specific molecular architecture of hyperdiploid multiple myeloma

Mario Cannataro, Pietro Hiram Guzzi, Gareth J. Morgan, 2015, Oncotarget.

Graph Theory and Applications

M. Cannataro, P. Guzzi, 2012 .

11 th Workshop on Biomedical and Bioinformatics Challenges for Computer Science : new computational models , algorithms and computer architectures ?

Mario Cannataro, M. Cannataro, 2022 .

Comparative analysis of nuclear estrogen receptor alpha and beta interactomes in breast cancer cells.

Mario Cannataro, Tuula A Nyman, Lorenzo Ferraro, 2011, Molecular bioSystems.

DMET-Analyzer: automatic analysis of Affymetrix DMET Data

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2012, BMC Bioinformatics.

Risk Alleles for Multiple Myeloma Susceptibility in ADME Genes

M. Cannataro, P. Tassone, P. Tagliaferri, 2022, Cells.

A peroxisome proliferator-activated receptor gamma (PPARG) polymorphism is associated with zoledronic acid-related osteonecrosis of the jaw in multiple myeloma patients: analysis by DMET microarray profiling

Mario Cannataro, Pierangelo Veltri, Marco Rossi, 2011, British journal of haematology.

Geoanalysis of Clinical Diagnoses and Biological Analytes Data

Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, 2014, Sistemi Evoluti per Basi di Dati.

OvAge: a new methodology to quantify ovarian reserve combining clinical, biochemical and 3D-ultrasonographic parameters

M. Cannataro, G. Cevenini, F. Zullo, 2015, Journal of Ovarian Research.

FIRB “ Grid . it ” WP 8 Working Paper Grid-based PSE Toolkits for Multidisciplinary Applications

D. Talia, M. Cannataro, C. Mastroianni, 2003 .

A device for stent designing in emodynamic surgery room

M. Cannataro, C. Indolfi, P. Veltri, 2009, 2009 IEEE International Workshop on Medical Measurements and Applications.

Knowledge Grid Designing , building , and implementing an architecture for distributed knowledge discovery

DOMENICO TALIA, D. Talia, M. Cannataro, 2022 .

KNOWLEDGE GRID An Architecture for Distributed Knowledge Discovery

Mario Cannataro, Domenico Talia, D. Talia, 2002 .

An Extensive Assessment of Network Embedding in PPI Network Alignment

M. Cannataro, C. Zucco, M. Milano, 2022, Entropy.

Studying miRNA-mRNA associations by using graphs

Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, 2013, Sistemi Evoluti per Basi di Dati.

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2022, npj Digital Medicine.

High sensitive troponin T in individuals with chest pain of presumed ischemic origin.

R. Casadonte, M. Cannataro, A. Curcio, 2012, Frontiers in bioscience.

An Architecture for Managing Mass Spectrometry Data for a Distributed Proteomics Laboratory

M. Cannataro, P. Guzzi, P. Veltri, 2005 .

Using Ontologies in Proteus for Modeling Data Mining Analysis of Proteomics Experiments

M. Cannataro, P. Guzzi, P. Veltri, 2004 .

A Prognostic and Carboplatin Response Predictive Model in Ovarian Cancer: A Mono-Institutional Retrospective Study Based on Clinics and Pharmacogenomics

M. Cannataro, P. Tassone, P. Tagliaferri, 2022, Biomedicines.

A Proposal to Support an Adaptive Hypermedia System through a Multiagent System

M. Cannataro, P. Veltri, Carlos Arteaga, 2004 .

Dynamic Process Scheduling in a Parallel Logic Machine

Mario Cannataro, Domenico Talia, Giandomenico Spezzano, 1992, IJCSLP Workshop on Concurrent and Parallel Implementations.

Scalable deep learning for healthcare: methods and applications

M. Cannataro, Giuseppe Agapito, Luca Barillaro, 2022, BCB.

Challenges and Limitations of Biological Network Analysis

M. Cannataro, Giuseppe Agapito, Marianna Milano, 2022, Biotech (Basel (Switzerland)).

In Vitro and in Vivo Anti-tumor Activity of miR-221/222 Inhibitors in Multiple Myeloma

M. Cannataro, P. Guzzi, P. Tassone, 2013, Oncotarget.

Architecture, Metadata and Ontologies in the Knowledge Grid

Mario Cannataro, Domenico Talia, Carmela Comito, 2003, MMGPS.

Euro-Par 2014: Parallel Processing Workshops, Part I

Mario Cannataro, Emmanuel Jeannot, Stephen L. Scott, 2014 .

Forecasting COVID-19 Epidemic Trends by Combining a Neural Network with Rt Estimation

M. Cannataro, Pietro Cinaglia, 2022, Entropy.

Revised Selected Papers, Part I, of the Euro-Par 2014 International Workshops on Parallel Processing - Volume 8805

Michael Alexander, Mario Cannataro, Laura Ricci, 2014 .

Application of CCTV Methodology to Analyze COVID-19 Evolution in Italy

M. Cannataro, Giuseppe Agapito, Marianna Milano, 2022, Biotech (Basel (Switzerland)).

Statistical and Network-Based Analysis of Italian COVID-19 Data: Communities Detection and Temporal Evolution

M. Cannataro, Marianna Milano, 2020, medRxiv.

Actor-Driven Workflow Execution in Distributed Environments

J. Träff, M. Cannataro, A. Belloum, 2010, Euro-Par Workshops.

Proceedings, International Conference on Information Technology: Computers and Communications, April 28-30, 2003, Las Vegas, Nevada

Amanda Spink, Mario Cannataro, Elaine Lawrence, 2003 .

An Italian lexicon-based sentiment analysis approach for medical applications

M. Cannataro, C. Zucco, Maria Chiara Martinis, 2022, BCB.

A statistical network pre-processing method to improve relevance and significance of gene lists in microarray gene expression studies

M. Cannataro, Giuseppe Agapito, Marianna Milano, 2022, BMC Bioinformatics.

Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks

M. Cannataro, P. Guzzi, Marianna Milano, 2022, Entropy.

Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration

M. Cannataro, C. Zucco, R. Vallelunga, 2022, Biotech (Basel (Switzerland)).

Network alignment and motif discovery in dynamic networks

M. Cannataro, Pietro Cinaglia, 2022, Network Modeling Analysis in Health Informatics and Bioinformatics.

WCE 2010 - World Congress on Engineering 2010: Preface

Anne E. James, Waleed Al-Nuaimy, Bogdan Gabrys, 2010, WCE 2010.

A Python Clustering Analysis Protocol of Genes Expression Data Sets

M. Cannataro, Giuseppe Agapito, Marianna Milano, 2022, Genes.

Bioinformatics and High-Performance Computing Methods for Deciphering and Fighting COVID-19—Editorial

M. Cannataro, Giuseppe Agapito, 2022, Biotech (Basel (Switzerland)).

“What Are the Applications for Remote Rehabilitation Management in Cystic Fibrosis?”: A Scoping Review Protocol

M. Cannataro, Matteo Cioeta, Matteo De Marchis, 2022, International journal of environmental research and public health.

Proceedings of the 48th International Conference on Parallel Processing: Workshops

Michael Alexander, Ioannis Caragiannis, Alexandru Costan, 2012 .

Scalable Biomedical and Bioinformatics Applications ( Invited Paper )

M. Cannataro, 2008 .

Temporal networks in biology and medicine: a survey on models, algorithms, and tools

R. Dondi, M. Cannataro, P. Guzzi, 2022, Network Modeling Analysis in Health Informatics and Bioinformatics.

Algorithms and databases in bioinformatics: towards a proteomic ontology

Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, 2005, International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II.

L-HetNetAligner: A novel algorithm for Local Alignment of Heterogeneous Biological Networks

T. Milenković, M. Cannataro, P. Guzzi, 2020, Scientific Reports.

Mario Cannataro, Pietro Hiram Guzzi, Concettina Guerra, 2012, Briefings Bioinform..

Network models in bioinformatics: modeling and analysis for complex diseases

M. Cannataro, Marianna Milano, 2023, Briefings Bioinform..

Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data

Mario Cannataro, Giuseppe Agapito, M. Cannataro, 2021, BMC Bioinformatics.

COVID-19 Community Temporal Visualizer: a new methodology for the network-based analysis and visualization of COVID-19 data

Mario Cannataro, Chiara Zucco, Marianna Milano, 2021, Network Modeling Analysis in Health Informatics and Bioinformatics.

GLAlign: A Novel Algorithm for Local Network Alignment

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Towards Heterogeneous Network Alignment: Design and Implementation of a Large-Scale Data Processing Framework

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2018, Euro-Par Workshops.

Analysis of miRNA, mRNA, and TF interactions through network-based methods

Mario Cannataro, Pietro Hiram Guzzi, Maria Teresa Di Martino, 2015, EURASIP J. Bioinform. Syst. Biol..

Protein-to-protein interactions: Technologies, databases, and algorithms

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2010, CSUR.

Management and Analysis of Protein-to-Protein Interaction Data

Mario Cannataro, Pietro Hiram Guzzi, M. Cannataro, 2010, CIBB.

Thresholding of Semantic Similarity Networks Using a Spectral Graph-Based Technique

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2013, NFMCP.

Network building and analysis in connectomics studies: a review of algorithms, databases and technologies

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2019, Network Modeling Analysis in Health Informatics and Bioinformatics.

A Data Mining Ontology for Grid Programming

Mario Cannataro, Carmela Comito, M. Cannataro, 2003 .

Using ontologies and semantic similarity measures for prioritization of gene regulatory networks

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2016 .

A proteomics approach to identify changes in protein profiles in serum of Familial Adenomatous Polyposis patients.

Mario Cannataro, Pierangelo Veltri, Giovanni Cuda, 2008, Cancer letters.

Polymorphic Variants in NR1I3 and UGT2B7 Predict Taxane Neurotoxicity and Have Prognostic Relevance in Patients With Breast Cancer: A Case‐Control Study

Mario Cannataro, Giuseppe Agapito, Mariamena Arbitrio, 2019, Clinical pharmacology and therapeutics.

DMET™ (Drug Metabolism Enzymes and Transporters): a pharmacogenomic platform for precision medicine

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2016, Oncotarget.

Single nucleotide polymorphisms of ABCC5 and ABCG1 transporter genes correlate to irinotecan-associated gastrointestinal toxicity in colorectal cancer patients: A DMET microarray profiling study

Mario Cannataro, Pietro Hiram Guzzi, Mariamena Arbitrio, 2011, Cancer biology & therapy.

Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2021, Scientific Reports.

An efficient and scalable SPARK preprocessing methodology for Genome Wide Association Studies

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2020, 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Evolving phenotypes of non-hospitalized patients that indicate long COVID

Jason W. Moore, Brett K. Beaulieu-Jones, Tiago K. Colicchio, 2021, BMC Medicine.

Hospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic

Jason W. Moore, Florence T. Bourgeois, Tiago K. Colicchio, 2022, JAMA network open.

Data mining for electroencephalogram signal processing and analysis

Mario Cannataro, Marzia Settino, Rossana Mancuso, 2021, BCB.

Challenges in microarray data management and analysis

Mario Cannataro, Pietro Hiram Guzzi, M. Cannataro, 2011, 2011 24th International Symposium on Computer-Based Medical Systems (CBMS).

Using ontologies for preprocessing and mining spectra data on the Grid

Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, 2007, Future Gener. Comput. Syst..

COVID-WAREHOUSE: A Data Warehouse of Italian COVID-19, Pollution, and Climate Data

M. Cannataro, Giuseppe Agapito, C. Zucco, 2020, International journal of environmental research and public health.

Services, Standards, and Technologies for High Performance Computational Proteomics

Mario Cannataro, Pierangelo Veltri, M. Cannataro, 2007, ISPA Workshops.

Bioinformatics helping to mitigate the impact of COVID-19 – Editorial

M. Cannataro, A. Harrison, 2021, Briefings Bioinform..

Visualization of protein interaction networks: problems and solutions

M. Cannataro, P. Guzzi, Giuseppe Agapito, 2013, BMC Bioinformatics.

Using MMRFBiolinks R-Package for Discovering Prognostic Markers in Multiple Myeloma.

M. Cannataro, Marzia Settino, 2021, Methods in molecular biology.

MMRFBiolinks: an R-package for integrating and analyzing MMRF-CoMMpass data

Mario Cannataro, Marzia Settino, M. Cannataro, 2021, Briefings Bioinform..

Identifying prognostic markers for multiple myeloma through integration and analysis of MMRF-CoMMpass data

Mario Cannataro, Giuseppe Agapito, Mariamena Arbitrio, 2021, J. Comput. Sci..

Automatic summarisation and annotation of microarray data

Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, 2011, Soft Comput..

μ-CS: An extension of the TM4 platform to manage Affymetrix binary data

Mario Cannataro, Pietro Hiram Guzzi, M. Cannataro, 2010, BMC Bioinformatics.

A large set of estrogen receptor β‐interacting proteins identified by tandem affinity purification in hormone‐responsive human breast cancer cell nuclei

M. Cannataro, P. Guzzi, M. Baumann, 2011 .

A large set of estrogen receptor β‐interacting proteins identified by tandem affinity purification in hormone‐responsive human breast cancer cell nuclei

Mario Cannataro, Tuula A Nyman, Lorenzo Ferraro, 2011, Proteomics.

An Embedded System for EEG Acquisition and Processing for Brain Computer Interface Applications

Mario Cannataro, Francesco Amato, Pietro Hiram Guzzi, 2010 .

In Vivo Activity of MiR-34a Mimics Delivered by Stable Nucleic Acid Lipid Particles (SNALPs) against Multiple Myeloma

M. Cannataro, R. Franco, P. Guzzi, 2014, PloS one.

Data mining and life sciences applications on the grid

Mario Cannataro, Pietro Hiram Guzzi, Alessia Sarica, 2013, WIREs Data Mining Knowl. Discov..

DIETOS: A dietary recommender system for chronic diseases monitoring and management

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2018, Comput. Methods Programs Biomed..

Tractography in amyotrophic lateral sclerosis using a novel probabilistic tool: A study with tract-based reconstruction compared to voxel-based approach

Mario Cannataro, Antonio Cerasa, Paolo Perrotta, 2014, Journal of Neuroscience Methods.

What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask (Preprint)

Jason W. Moore, Brett K. Beaulieu-Jones, Jeffrey G. Klann, 2020 .

SqueezeX: synthesis and compression of XML data

Mario Cannataro, Carmela Comito, Andrea Pugliese, 2002, Proceedings. International Conference on Information Technology: Coding and Computing.

Semantic Lossy Compression of XML Data

Mario Cannataro, Domenico Saccà, Andrea Pugliese, 2001, KRDB.

Proteus, a Grid based Problem Solving Environment for Bioinformatics: Architecture and Experiments

Mario Cannataro, Carmela Comito, Pierangelo Veltri, 2004 .

Knowledge management and XML: derivation of synthetic views over semi-structured data

Mario Cannataro, Antonella Guzzo, Andrea Pugliese, 2002, SIAP.

Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: An international multi-centre observational cohort study

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2022, eClinicalMedicine.

Modelling a Protein Structure Comparison Application on the Grid Using PROTEUS

Mario Cannataro, Matteo Comin, Carlo Ferrari, 2004, SAG.

The knowledge grid

Mario Cannataro, Domenico Talia, D. Talia, 2003, CACM.

Learning Weighted Association Rules in Human Phenotype Ontology

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2016, CIBB.

Identification of polymorphic variants associated with erlotinib-related skin toxicity in advanced non-small cell lung cancer patients by DMET microarray analysis

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2015, Cancer Chemotherapy and Pharmacology.

Sentiment analysis and affective computing for depression monitoring

Mario Cannataro, Chiara Zucco, Barbara Calabrese, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Computational challenges for sentiment analysis in life sciences

Mario Cannataro, Chiara Zucco, Giuseppe Agapito, 2016, 2016 International Conference on High Performance Computing & Simulation (HPCS).

DIETOS: A recommender system for adaptive diet monitoring and personalized food suggestion

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2016, 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

Visual Data Mining of Biological Networks: One Size Does Not Fit All

Mario Cannataro, Giuseppe Agapito, Igor Jurisica, 2013, PLoS Comput. Biol..

An Overview on the Challenges and Limitations Using Cloud Computing in Healthcare Corporations

M. Cannataro, Giuseppe Agapito, 2023, Big Data and Cognitive Computing.

Application of Multi Network Alignment Algorithms for Connectomes Study

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2017 .

GLAlign: Using global graph alignment to improve local graph alignment

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Explainable Sentiment Analysis with Applications in Medicine

Mario Cannataro, Huizhi Liang, Giuseppe Di Fatta, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

SIGMCC: A system for sharing meta patient records in a Peer-to-Peer environment

Mario Cannataro, Domenico Talia, Giuseppe Tradigo, 2008, Future Gener. Comput. Syst..

Semantics and knowledge grids: building the next-generation grid

Mario Cannataro, Domenico Talia, D. Talia, 2004, IEEE Intelligent Systems.

Cloud Computing in Healthcare and Biomedicine

Mario Cannataro, Barbara Calabrese, M. Cannataro, 2015, Scalable Comput. Pract. Exp..

Sentiment analysis for mining texts and social networks data: Methods and tools

Mario Cannataro, Chiara Zucco, Giuseppe Agapito, 2019, WIREs Data Mining Knowl. Discov..

Sentiment Analysis and Affective Computing: Methods and Applications

Mario Cannataro, Barbara Calabrese, M. Cannataro, 2015, BrainComp.

Using Network Alignment for Analysis of Connectomes: Experiences from a Clinical Dataset

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2016, BCB.

An Innovative Framework for Bioimage Annotation and Studies

Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, 2017, Interdisciplinary Sciences: Computational Life Sciences.

An extensive assessment of network alignment algorithms for comparison of brain connectomes

Duan Xu, M. Cannataro, O. Tymofiyeva, 2017, BMC Bioinformatics.

IMPRECO: Distributed prediction of protein complexes

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2010, Future Gener. Comput. Syst..

Preprocessing of mass spectrometry proteomics data on the grid

Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

A software pipeline for pre-processing and mining EEG signals: application in neurology (Discussion Paper)

Mario Cannataro, Chiara Zucco, Barbara Calabrese, 2021, SEBD.

Data Management of Protein Interaction Networks

Mario Cannataro, Pietro Hiram Guzzi, M. Cannataro, 2011 .

Big Data Analysis in Bioinformatics

Mario Cannataro, M. Cannataro, 2019, Encyclopedia of Big Data Technologies.

OntoPIN: An ontology-annotated PPI database

M. Cannataro, P. Guzzi, P. Veltri, 2013, Interdisciplinary Sciences: Computational Life Sciences.

Experimental evaluation of OntoPIN: an ontology-annotated PPI database

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2011, BCB '11.

Using RDF for managing protein-protein interaction data

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2010, BCB '10.

Using ontologies for querying and analysing protein-protein interaction data

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2010, SWAT4LS.

cPEA: a parallel method to perform pathway enrichment analysis using multiple pathways databases

Mario Cannataro, Giuseppe Agapito, M. Cannataro, 2020, Soft Computing.

Emotion Mining: from Unimodal to Multimodal Approaches

M. Cannataro, B. Calabrese, C. Zucco, 2019, BrainComp.

An experimental study of information content measurement of gene ontology terms

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2018, Int. J. Mach. Learn. Cybern..

Logic Program Execution on Distributed Memory Parallel Computers

Mario Cannataro, Domenico Talia, Giandomenico Spezzano, 1993 .

Micro-Analyzer: Automatic preprocessing of Affymetrix microarray data

Mario Cannataro, Pietro Hiram Guzzi, M. Cannataro, 2013, Comput. Methods Programs Biomed..

A General Architecture for Grid-Based PSE Toolkits

Mario Cannataro, Domenico Talia, Giandomenico Spezzano, 2004, PARA.

PALM: a logic programming system on a highly parallel architecture

Mario Cannataro, Domenico Talia, Giandomenico Spezzano, 1995 .

Design, implementation and evaluation of a deadlock-free routing algorithm for concurrent computers

Mario Cannataro, Domenico Talia, G. Spezzano, 1992, Concurr. Pract. Exp..

A Multi-Transputer Architecture for a Parallel Logic Machine

Mario Cannataro, Domenico Talia, Giandomenico Spezzano, 1991 .

Using Social Networks Data for Behavior and Sentiment Analysis

Mario Cannataro, Nicola Ielpo, Barbara Calabrese, 2015, IDCS.

Parallel data intensive computing in scientific and commercial applications

Mario Cannataro, Domenico Talia, Pradip K. Srimani, 2002, Parallel Comput..

DMETTM Genotyping: Tools for Biomarkers Discovery in the Era of Precision Medicine

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2020, High-throughput.

What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask

Jeffrey G. Klann, Deanne M. Taylor, Andrew K Vallejos, 2021, Journal of medical Internet research.

coreSNP: Parallel Processing of Microarray Data

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2014, IEEE Transactions on Computers.

A Software Platform for Services Delivery in the Public Administration

Mario Cannataro, Luigi Palopoli, Pasquale Rullo, 2005, CAiSE Workshops.

Semantic extraction and adaptive delivery of multimedia contents for the cultural assets

Mario Cannataro, Pierangelo Veltri, Pasquale Rullo, 2007, UPGRADE '07.

VOTA - A Vocal Tract and Training Analysis Tool

Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).

Evaluating the inappropriateness of repeated laboratory testing in a teaching hospital of South Italy

M. Cannataro, P. Guzzi, G. Cuda, 2013, Clinical chemistry and laboratory medicine.

Using GO-WAR for mining cross-ontology weighted association rules

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2015, Comput. Methods Programs Biomed..

A pipeline for mining association rules from large datasets of retailers invoices

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2019, APPIS.

BioPAX-Parser: parsing and enrichment analysis of BioPAX pathways

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2020, Bioinform..

A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease

Mario Cannataro, Giuseppe Di Fatta, Alexander Luke Spedding, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Identifying Candidate Gene–Disease Associations via Graph Neural Networks

M. Cannataro, Pietro Cinaglia, 2023, Entropy.

Serverless computing for RNA-Seq data analysis

J. L. Vázquez-Poletti, M. Cannataro, Pietro Cinaglia, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Distributed data mining on grids: services, tools, and applications

Mario Cannataro, Domenico Talia, Paolo Trunfio, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Parallel Learning of Weighted Association Rules in Human Phenotype Ontology

Giuseppe Agapito, Pietro Hiram Guzzi, Marianna Milano, 2019, Euro-Par Workshops.

Development and Validation of Machine-Learning Models to Support Clinical Diagnosis for Non-Epileptic Psychogenic Seizures

M. Cannataro, B. Calabrese, A. Gambardella, 2023, Applied Sciences.

Mining Association Rules from Gene Ontology and Protein Networks: Promises and Challenges

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2014, ICCS.

A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects

Mario Cannataro, Barbara Calabrese, Sara Gasparini, 2020, Sensors.

Parallel processing of genomics data

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2016 .

Computational proteomics: management and analysis of proteomics data

M. Cannataro, 2008, Briefings Bioinform..

MMRFVariant: Prioritizing variants in Multiple Myeloma

M. Cannataro, Marzia Settino, 2023, Informatics in Medicine Unlocked.

Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2016, Briefings Bioinform..

Scalable biomedical and bioinformatics applications

Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, 2008, Infoscale.

Management and Analysis of Mass Spectrometry Proteomics Data on the Grid

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2009 .

Computing for Bioinformatics

Giuseppe Agapito, Mario Cannataro, M. Cannataro, 2019, Encyclopedia of Bioinformatics and Computational Biology.

MMRF-CoMMpass Data Integration and Analysis for Identifying Prognostic Markers

Daniele Caracciolo, Marzia Settino, Mario Cannataro, 2020, ICCS.

Using GMQL-Web for Querying, Downloading and Integrating Public with Private Genomic Datasets

Mario Cannataro, Giuseppe Agapito, Marco Masseroli, 2019, BCB.

OSAnalyzer: A Bioinformatics Tool for the Analysis of Gene Polymorphisms Enriched with Clinical Outcomes

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2016, Microarrays.

Sentiment Analysis of medical questionnaires to improve adherence to telemonitoring programs (Discussion Paper)

M. Cannataro, C. Zucco, S. Graziano, 2021, SEBD.

A Probabilistic Approach to Model Adaptive Hypermedia Systems

Mario Cannataro, Alfredo Cuzzocrea, Andrea Pugliese, 2001, WebDyn@ICDT.

Pathway Analysis for SNP microarray data

Mario Cannataro, Giuseppe Agapito, Pietro H. Guzzi, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Using BioPAX-Parser (BiP) to Annotate Lists of Biological Entities with Pathway Data

Giuseppe Agapito, Mario Cannataro, M. Cannataro, 2020, ER.

Distributed data mining on the grid

Mario Cannataro, Domenico Talia, Paolo Trunfio, 2002, Future Gener. Comput. Syst..

Using multiple network alignment for studying connectomes

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2019, Network Modeling Analysis in Health Informatics and Bioinformatics.

Euro-Par 2014: Parallel Processing Workshops

Michael Alexander, Mario Cannataro, Laura Ricci, 2014, Lecture Notes in Computer Science.

Distributed Management and Analysis of Omics Data

Mario Cannataro, Pietro Hiram Guzzi, M. Cannataro, 2011, Euro-Par Workshops.

International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study

Jeffrey S. Morris, Jeffrey G. Klann, R. Bellazzi, 2020, medRxiv.

Parallel and distributed association rule mining in life science: A novel parallel algorithm to mine genomics data

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2018, Inf. Sci..

L-HetNetAligner: A novel algorithm for Local Alignment of Heterogeneous Biological Networks

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2020, Scientific Reports.

CytoMCL: A Cytoscape plugin for fast clustering of protein interaction networks

Mario Cannataro, Pietro Hiram Guzzi, M. Cannataro, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

IMPRECO: A Tool for Improving the Prediction of Protein Complexes

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2008, ICCS.

myMCL: A Web Portal for Protein Complexes Prediction

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

Challenges and Opportunities for Visualization and Analysis of Graph-Modeled Medical Data

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2017 .

Handbook of Research on Computational Grid Technologies for Life Sciences , Biomedicine , and Healthcare

M. Cannataro, 2009 .

MuLaN: a MultiLayer Networks Alignment Algorithm

M. Cannataro, P. Guzzi, Pietro Cinaglia, 2023, ArXiv.

A Method Based on Temporal Embedding for the Pairwise Alignment of Dynamic Networks

M. Cannataro, Pietro Cinaglia, 2023, Entropy.

Alignment of Dynamic Networks based on Temporal Embeddings

M. Cannataro, Pietro Cinaglia, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Grid-Based Data Mining and Knowledge Discovery

Mario Cannataro, Domenico Talia, Paolo Trunfio, 2004 .

OntoPIN: An ontology-annotated PPI database

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2013, Interdisciplinary Sciences: Computational Life Sciences.

Early detection of voice diseases via a web-based system

M. Cannataro, C. Cosentino, F. Montefusco, 2009, MAVEBA.

A novel portable device for pathological voice analysis

M. Cannataro, P. Veltri, A. Palumbo, 2009, 2009 IEEE International Workshop on Medical Measurements and Applications.

Experiences of using a DSP based device for vocal signal analysis

Mario Cannataro, Francesco Amato, Arrigo Palumbo, 2011, MAVEBA.

A Novel Portable Device for Laryngeal Pathologies Analysis and Classification

Mario Cannataro, Francesco Amato, Pierangelo Veltri, 2010 .

GoD: An R-package based on ontologies for prioritization of genes with respect to diseases

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2015, J. Comput. Sci..

Edge-based Deep Learning in Medicine: Classification of ECG signals

M. Cannataro, Giuseppe Agapito, Luca Barillaro, 2022, IEEE International Conference on Bioinformatics and Biomedicine.

Cloud4SNP: Distributed Analysis of SNP Microarray Data on the Cloud

Mario Cannataro, Domenico Talia, Giuseppe Agapito, 2013, BCB.

Relating Clinical Diagnosis and Biological Analytes via EMRs Clustering

Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, 2014, 2014 IEEE International Conference on Healthcare Informatics.

DMET-Miner: Efficient discovery of association rules from pharmacogenomic data

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2015, J. Biomed. Informatics.

Association Rule Mining from large datasets of clinical invoices document

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Challenges and Opportunities of Amazon Serverless Lambda Services in Bioinformatics

Mario Cannataro, Giuseppe Agapito, José Luis Vázquez-Poletti, 2019, BCB.

S4S: RESTful Services to Collect, Integrate and Analyze SNPs and Clinical Data on the Web

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Services4SNPs: A RESTful Platform for Association Rule Mining and Survival Analysis of Genotyping Data

Mario Cannataro, Giuseppe Agapito, M. Cannataro, 2018, BCB.

A Parallel Software Pipeline for DMET Microarray Genotyping Data Analysis

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2018, High-throughput.

A software pipeline for multiple microarray data analysis

Mario Cannataro, Giuseppe Agapito, M. Cannataro, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Parallel extraction of association rules from genomics data

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2017, Appl. Math. Comput..

GenotypeAnalytics: a RESTFul platform to mine multiple associations between SNPs and drug response in case-control studies

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2017, PeerJ Prepr..

Learning Association Rules for Pharmacogenomic Studies

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2017, NFMCP@PKDD/ECML.

Using GenotypeAnalytics to Analyze Pharmacogenomic Datasets

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2017, BCB.

High Performance Analysis of Omics Data: Experiences at University Magna Graecia of Catanzaro

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2017, 2017 International Conference on High Performance Computing & Simulation (HPCS).

Efficient Data Mining Analysis of Genomics and Clinical Data for Pharmacogenomics Applications

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2016, WILF.

snpStorage: a database to store and share experimental SNPs data sets

Mario Cannataro, Giuseppe Agapito, M. Cannataro, 2021, SEBD.

M. Cannataro, P. Guzzi, P. Tassone, 2011, British journal of haematology.

A Parallel Cellular Automata Environment on Multicomputers for Computational Science

Rocco Rongo, Mario Cannataro, Domenico Talia, 1995, Parallel Comput..

The knowledge grid

D. Talia, M. Cannataro, 2003, CACM.

Bioinformatics and Microarray Data Analysis on the Cloud.

Mario Cannataro, Barbara Calabrese, M. Cannataro, 2016, Methods in molecular biology.

MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid

Mario Cannataro, Pierangelo Veltri, M. Cannataro, 2007, Concurr. Comput. Pract. Exp..

DISAS : a DISelect-based Middleware for Building Adaptive Systems

M. Cannataro, L. Palopoli, P. Veltri, 2006 .

A New Parallel Methodology for the Network Analysis of COVID-19 Data

M. Cannataro, Giuseppe Agapito, Marianna Milano, 2021, Euro-Par Workshops.

M. Cannataro, Marco Mina, P. Guzzi, 2012, Briefings Bioinform..

A web-based tool to analyze semantic similarity networks

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2014, BCB.

Using Edge-based Deep Learning Model for Early Detection of Cancer

M. Cannataro, Giuseppe Agapito, Luca Barillaro, 2023, 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

VeNet: A framework for the analysis of protein interaction networks through vector space embedding

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Using ontologies for annotating and retrieving protein-protein interactions data

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2009, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems.

What Are the Chances?—Hidden Markov Models

Mario Cannataro, Pietro Hiram Guzzi, Angela B. Shiflet, 2020 .

Sentiment Analysis and Text Mining of Questionnaires to Support Telemonitoring Programs

Chiara Zucco, Clarissa Paglia, Mario Cannataro, 2020, Inf..

Data mining for electroencephalogram signal processing and analysis

M. Cannataro, Marzia Settino, R. Mancuso, 2021, BCB.

Overall Survival Analyzer: A software tool to analyze genotyping and clinical data enriched with temporal events

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Grid Service Based on Suffix Trees for Pattern Extraction from Mass Spectrometry Proteomics Data

Mario Cannataro, Pierangelo Veltri, M. Cannataro, 2006, ISPA Workshops.

A taxonomy for bioinformatics tools: exploiting semantics, parallelism, and services for analyzing omics data

Mario Cannataro, Pietro Hiram Guzzi, M. Cannataro, 2014, BCB.

Annotation and retrieval in protein interaction databases

M. Cannataro, P. Veltri, Pietro Hiram Guzzi, 2014, The European Physical Journal Plus.

Visualization of protein interaction networks: problems and solutions

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2013, BMC Bioinformatics.

Sharing mass spectrometry data in a grid-based distributed proteomics laboratory

Mario Cannataro, Giuseppe Tradigo, Pierangelo Veltri, 2007, Inf. Process. Manag..

Towards the next-generation Grid: a pervasive environment for knowledge-based computing

Mario Cannataro, Domenico Talia, D. Talia, 2003, Proceedings ITCC 2003. International Conference on Information Technology: Coding and Computing.