Giuseppe Agapito

发表

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).

Comprehensive pathway enrichment analysis workflows: COVID-19 case study

I. Jurisica, Giuseppe Agapito, C. Pastrello, 2020, Briefings Bioinform..

Bioinformatics Tools to Make Possible to Use High-Throughput Data in Clinical Activities

Giuseppe Agapito, 2018 .

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.

Computer Tools to Analyze Microarray Data.

Giuseppe Agapito, 2019, Methods in molecular biology.

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.

Aging changes complexity of heart rate dynamics assessed by entropy and Lyapunov exponent analysis

Giuseppe Agapito, F. Fimognari, S. Siciliano, 2019, Geriatric Care.

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.

Clustering XML Documents: a Distributed Collaborative Approach

Francesco Gullo, A. Tagarelli, S. Greco, 2010 .

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)).

Nine quick tips for pathway enrichment analysis

D. Chicco, Giuseppe Agapito, 2022, PLoS Comput. Biol..

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

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

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.

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)).

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

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

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

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

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.

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, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2022, JAMA network open.

Biological Pathways

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

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.

Visualization of protein interaction networks: problems and solutions

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

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

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

Genetic variants associated with Fabry disease progression despite enzyme replacement therapy

Giuseppe Agapito, Pietro Hiram Guzzi, Mariamena Arbitrio, 2017, Oncotarget.

Clustering Methods for Microarray Data Sets.

Giuseppe Agapito, Giuseppe Fedele, 2021, Methods in molecular biology.

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

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

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.

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.

Using Association Rules to Mine Actionable Knowledge from Internet of Medical Thinks Data

Giuseppe Agapito, 2012, Integrating Artificial Intelligence and IoT for Advanced Health Informatics.

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 Cogn. Comput..

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

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

Genetic variants associated with gastrointestinal symptoms in Fabry disease

Giuseppe Agapito, Pietro Hiram Guzzi, Mariamena Arbitrio, 2016, Oncotarget.

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

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

An experimental study of information content measurement of gene ontology terms

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

Microarray Data Analysis Protocol.

Giuseppe Agapito, M. Arbitrio, 2021, Methods in molecular biology.

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

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

coreSNP: Parallel Processing of Microarray Data

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

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

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

Standards and Models for Biological Data: SBML

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

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..

Parallel Learning of Weighted Association Rules in Human Phenotype Ontology

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

Parallel processing of genomics data

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

Parallel and Distributed Computing Methodologies in Bioinformatics

Giuseppe Agapito, Giuseppe Agapito, 2019, IDCS.

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..

Computing for Bioinformatics

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

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.

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.

Standards and Models for Biological Data: BioPAX

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

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..

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

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

Visualization of Biological Pathways

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

SEDEG: An automatic method for preprocessing and selection of seed genes from gene expression data

Giuseppe Agapito, Pietro Cinaglia, Marianna Milano, 2024, Informatics in Medicine Unlocked.

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.

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.

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

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

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).

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).

Visualization of protein interaction networks: problems and solutions

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

Efficient GPU Processing Method to Analyze Large GWAS Data Sets

Giuseppe Agapito, Mario Cannataro, Gaetano Guardasole, 2024, 2024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

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

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

Identification of ADME genes polymorphic variants linked to trastuzumab-induced cardiotoxicity in breast cancer patients: Case series of mono-institutional experience.

P. Tassone, P. Tagliaferri, Giuseppe Agapito, 2024, Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie.

Genetic Biomarkers of Sorafenib Response in Patients with Hepatocellular Carcinoma

P. Tassone, P. Tagliaferri, Giuseppe Agapito, 2024, International Journal of Molecular Sciences.