Giuseppe Agapito

发表

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).

Biological Pathways

Giuseppe Agapito, Giuseppe Agapito, 2019, Encyclopedia of Bioinformatics and Computational Biology.

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

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

Computing Languages for Bioinformatics: BioPerl

Giuseppe Agapito, 2019, Encyclopedia of Bioinformatics and Computational Biology.

A Parallel Software Pipeline for DMET Microarray Genotyping Data Analysis

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

Parallel processing of genomics data

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

Learning Association Rules for Pharmacogenomic Studies

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

DMET-miner: Efficient learning of association rules from genotyping data for personalized medicine

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

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

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

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

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.

Computing Languages for Bioinformatics: Perl

Giuseppe Agapito, 2019, Encyclopedia of Bioinformatics and Computational Biology.

coreSNP: Parallel Processing of Microarray Data

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

Cloud4SNP: Distributed Analysis of SNP Microarray Data on the Cloud

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

Clustering XML Documents: a Distributed Collaborative Approach (Extended Abstract)

Sergio Greco, Giuseppe Agapito, Andrea Tagarelli, 2010, Sistemi Evoluti per Basi di Dati.

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

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

Visualization of protein interaction networks: problems and solutions

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

Computing for Bioinformatics

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

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

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

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).

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).

Efficient learning of association rules from human phenotype ontology

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2015, BCB.

Visualization of Biological Pathways

Giuseppe Agapito, Giuseppe Agapito, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Parallel and Distributed Analysis of Microarray Data

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

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

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

Parallel Learning of Weighted Association Rules in Human Phenotype Ontology

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

Parallel extraction of association rules from genomics data

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

The impact of Gene Ontology evolution on GO-Term Information Content

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2016, 1612.09499.

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

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

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

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

BioPAX-Parser: parsing and enrichment analysis of BioPAX pathways

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

A Parallel Software Pipeline for Personalized Medicine

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

Improving annotation quality in gene ontology by mining cross-ontology weighted association rules

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Standards and Models for Biological Data: BioPAX

Giuseppe Agapito, Giuseppe Agapito, 2019, Encyclopedia of Bioinformatics and Computational Biology.

An experimental study of information content measurement of gene ontology terms

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

Parallel and Distributed Computing Methodologies in Bioinformatics

Giuseppe Agapito, Giuseppe Agapito, 2019, IDCS.

DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2017, HealthRecSys@RecSys.

Pathway Analysis for SNP microarray data

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

Standards and Models for Biological Data: SBML

Giuseppe Agapito, Giuseppe Agapito, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Challenges and Opportunities of Amazon Serverless Lambda Services in Bioinformatics

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

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..

BioPaxCOMP: an efficient system for integrating, compressing, and querying BioPAX

Mario Cannataro, Giuseppe Agapito, Andrea Greco, 2016 .

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..

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 dietary recommender system for chronic diseases monitoring and management

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

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

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

DMET-Analyzer: automatic analysis of Affymetrix DMET Data

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

Mining Association Rules From Disease Ontology

Mario Cannataro, Giuseppe Agapito, Marianna Milano, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Using GenotypeAnalytics to Analyze Pharmacogenomic Datasets

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

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

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

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

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

A Parallel Software Platform for Pathway Enrichment

Mario Cannataro, Giuseppe Agapito, 2019, NUMTA.

Editorial of the Special Issue of the 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC 2017

Riccardo Dondi, Mario Cannataro, Giuseppe Agapito, 2018, Comput..

Learning Weighted Association Rules in Human Phenotype Ontology

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

10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017

Riccardo Dondi, Mario Cannataro, Giuseppe Agapito, 2017, ICCS.

GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2014, CIBB.

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).

A software pipeline for multiple microarray data analysis

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

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

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

Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2014, 2014 International Conference on High Performance Computing & Simulation (HPCS).

Biases in information content measurement of gene ontology terms

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

ParBio'19 - 8th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine

Mario Cannataro, Giuseppe Agapito, Wes Lloyd, 2019, BCB.

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).

ACM-BCB 2018 ParBio Chairs' Welcome & Organization

Giuseppe Agapito, Wes Lloyd, 2018, BCB.

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).

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

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

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..

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

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

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

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