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Pietro H. Guzzi
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2020 – today
- 2024
- [j59]Raffaele Giancotti, Pietro Bosoni, Patrizia Vizza, Giuseppe Tradigo, Agostino Gnasso, Pietro Hiram Guzzi, Riccardo Bellazzi, Concetta Irace, Pierangelo Veltri:
Forecasting glucose values for patients with type 1 diabetes using heart rate data. Comput. Methods Programs Biomed. 257: 108438 (2024) - [j58]Patrizia Vizza, Elena Succurro, Giuseppe Pozzi, Pietro Hiram Guzzi, Giuseppe Lucio Cascini, Giuseppe Tradigo, Pierangelo Veltri:
A Methodology to Measure Glucose Metabolism by Quantitative Analysis of PET Images. J. Heal. Informatics Res. 8(4): 640-657 (2024) - [j57]Patrizia Vizza, Federica Aracri, Pietro Hiram Guzzi, Marco Gaspari, Pierangelo Veltri, Giuseppe Tradigo:
Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case. BMC Medical Informatics Decis. Mak. 24(1): 93 (2024) - [j56]Binon Teji, Swarup Roy, Devendra Singh Dhami, Dinabandhu Bhandari, Pietro Hiram Guzzi:
Graph Embedding Techniques for Predicting Missing Links in Biological Networks: An Empirical Evaluation. IEEE Trans. Emerg. Top. Comput. 12(1): 190-201 (2024) - [c138]Fabiola Boccuto, Patrizia Vizza, Salvatore De Rosa, Giuseppe Tradigo, Pierangelo Veltri, Daniele Torella, Pietro Hiram Guzzi:
How Patients Feel with Telemedicine Devices as an Enabling Factor for Personalised Medicine: A Preliminary Study. pHealth 2024: 168-172 - [c137]Pietro Hiram Guzzi, Patrizia Vizza, Giuseppe Tradigo, Sergio Greco, Pierangelo Veltri:
Design of a Telemedicine Infrastructure for Rural and Remote Areas. SEBD 2024: 387-391 - [i16]Annamaria Defilippo, Pierangelo Veltri, Pietro Lió, Pietro Hiram Guzzi:
Leveraging graph neural networks for supporting Automatic Triage of Patients. CoRR abs/2403.07038 (2024) - [i15]Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi, Pietro Lio':
DCAE-SR: Design of a Denoising Convolutional Autoencoder for reconstructing Electrocardiograms signals at Super Resolution. CoRR abs/2404.15307 (2024) - 2023
- [j55]Pietro Hiram Guzzi, Francesca Cortese, Gaia Chiara Mannino, Elisabetta Pedace, Elena Succurro, Francesco Andreozzi, Pierangelo Veltri:
Differential network analysis between sex of the genes related to comorbidities of type 2 mellitus diabetes. Appl. Netw. Sci. 8(1): 36 (2023) - [j54]Pietro Hiram Guzzi, Ugo Lomoio, Pierangelo Veltri:
GTExVisualizer: a web platform for supporting ageing studies. Bioinform. 39(5) (2023) - [j53]Swarup Roy, Pietro Hiram Guzzi, Jugal Kalita:
Editorial: Graph representation learning in biological network. Frontiers Bioinform. 3 (2023) - [j52]Pietro Hiram Guzzi, Ugo Lomoio, Barbara Puccio, Pierangelo Veltri:
Structural analysis of SARS-CoV-2 Spike protein variants through graph embedding. Netw. Model. Anal. Health Informatics Bioinform. 12(1): 3 (2023) - [j51]Mohammad Mehdi Hosseinzadeh, Mario Cannataro, Pietro Hiram Guzzi, Riccardo Dondi:
Temporal networks in biology and medicine: a survey on models, algorithms, and tools. Netw. Model. Anal. Health Informatics Bioinform. 12(1): 10 (2023) - [j50]Riccardo Dondi, Pietro Hiram Guzzi, Mohammad Mehdi Hosseinzadeh, Marianna Milano:
Dense subgraphs in temporal social networks. Soc. Netw. Anal. Min. 13(1): 128 (2023) - [c136]Raffaele Giancotti, Patrizia Vizza, Martina De Salazar, Giuseppe Tradigo, Pietro Hiram Guzzi, Concetta Irace, Pierangelo Veltri:
Predicting Glycemia by Using RNNs and Heart Rate Patient Data. BATS 2023: 79-82 - [c135]Pietro Hiram Guzzi, Annamaria Defilippo, Pierangelo Veltri:
A novel Network Science Algorithm for Improving Triage of Patients. BIBM 2023: 2803-2808 - [c134]Pietro Hiram Guzzi, Mattia Cannistrà, Raffaele Giancotti, Ugo Lomoio, Barbara Puccio, Patrizia Vizza, Giuseppe Tradigo, Pierangelo Veltri:
Annotating omics Data with sex and age of samples: Enabling powerful omics studies. BIBM 2023: 3886-3890 - [c133]Pietro Hiram Guzzi, Pierangelo Veltri:
An Artificial Intelligence-Based Framework for Supporting Management of Patients Affected by Dementia. BIBM 2023: 3891-3892 - [c132]Patrizia Vizza, Giuseppe Tradigo, Massimiliano Perri, Antonino Posterino, Raffaele Giancotti, Pietro Hiram Guzzi, Pierangelo Veltri:
An innovative platform to manage the access to social and health services for vulnerable people. BIBM 2023: 3913-3918 - [c131]Patrizia Vizza, Giuseppe Timpano, Francesco Vescio, Gianmichele Caligiuri, Fulvia Michela Caligiuri, Pasquale Lambardi, Pierangelo Veltri, Pietro H. Guzzi, Giuseppe Tradigo:
Tracking and Predicting Productions in Agricultural Processes: Applications and Experiences. IEEE Big Data 2023: 3524-3529 - [c130]Pietro Hiram Guzzi, Arkaprava Roy, Francesca Cortese, Pierangelo Veltri:
Non Parametric Differential Network Analysis for Biological Data. COMPLEX NETWORKS (3) 2023: 114-123 - [i14]Marianna Milano, Pietro Cinaglia, Pietro Hiram Guzzi, Mario Cannataro:
MuLaN: a MultiLayer Networks Alignment Algorithm. CoRR abs/2309.07482 (2023) - [i13]Pietro Hiram Guzzi, Annamaria De Filippo, Pierangelo Veltri:
A novel Network Science Algorithm for Improving Triage of Patients. CoRR abs/2310.05996 (2023) - 2022
- [j49]Pietro Hiram Guzzi, Francesco Petrizzelli, Tommaso Mazza:
Disease spreading modeling and analysis: a survey. Briefings Bioinform. 23(4) (2022) - [j48]Daniele Mercatelli, Chiara Cabrelle, Pierangelo Veltri, Federico M. Giorgi, Pietro H. Guzzi:
Detection of pan-cancer surface protein biomarkers via a network-based approach on transcriptomics data. Briefings Bioinform. 23(5) (2022) - [j47]Shawn Gu, Meng Jiang, Pietro Hiram Guzzi, Tijana Milenkovic:
Modeling multi-scale data via a network of networks. Bioinform. 38(9): 2544-2553 (2022) - [j46]Pietro Hiram Guzzi, Luisa Di Paola, Alessandro Giuliani, Pierangelo Veltri:
PCN-Miner: an open-source extensible tool for the analysis of Protein Contact Networks. Bioinform. 38(17): 4235-4237 (2022) - [j45]Neda Eskandarzade, Abozar Ghorbani, Samira Samarfard, Jose Diaz, Pietro H. Guzzi, Niloofar Fariborzi, Ahmad Tahmasebi, Keramatollah Izadpanah:
Network for network concept offers new insights into host- SARS-CoV-2 protein interactions and potential novel targets for developing antiviral drugs. Comput. Biol. Medicine 146: 105575 (2022) - [j44]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks. Entropy 24(9): 1272 (2022) - [j43]Pietro Hiram Guzzi, Marinka Zitnik:
Editorial Deep Learning and Graph Embeddings for Network Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 653-654 (2022) - [c129]Francesco Chiodo, Mario Torchia, Enza Messina, Elisabetta Fersini, Tommaso Mazza, Pietro Hiram Guzzi:
A novel framework based on network embedding for the simulation and analysis of disease progression. BIBM 2022: 1886-1890 - [c128]Pietro Hiram Guzzi, Ugo Lomoio, Rocco Scicchitano, Pierangelo Veltri:
NOMA-DB: a framework for management and analysis of ageing-related gene-expression data. BIBM 2022: 1905-1910 - [c127]Raffaele Giancotti, Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi, Patrizia Vizza:
A machine-learning based tool for bioimages managing and annotation. BIBM 2022: 2589-2594 - [c126]Patrizia Vizza, Giuseppe Tradigo, Pietro Hiram Guzzi, Elena Succurro, Giuseppe Lucio Cascini, Pierangelo Veltri:
Glucose Metabolism Evaluation by using cardiac PET images. BIBM 2022: 2951-2953 - [c125]Pietro Hiram Guzzi, Francesca Cortese, Gaia Chiara Mannino, Elisabetta Pedace, Francesco Andreozzi, Pierangelo Veltri:
A network-based analysis of genes related to comorbidities in diabetes. BIBM 2022: 3810-3812 - [c124]Riccardo Dondi, Pietro Hiram Guzzi, Mohammad Mehdi Hosseinzadeh:
Integrating Temporal Graphs via Dual Networks: Dense Graph Discovery. COMPLEX NETWORKS (2) 2022: 523-535 - [c123]Patrizia Vizza, Giuseppe Tradigo, Pietro H. Guzzi, Barbara Puccio, Mattia Prosperi, Carlo Torti, Pierangelo Veltri:
Annotations of Virus Data for Knowledge Enrichment. ICHI 2022: 492-494 - [c122]Patrizia Vizza, Mattia Cannistrà, Giuseppe Tradigo, Giuseppe Lucio Cascini, Pietro Hiram Guzzi, Pierangelo Veltri:
DeLaBE: A Deep Learning architecture for Bio-images enhancing. ICHI 2022: 505-507 - [c121]Patrizia Vizza, Giuseppe Tradigo, Raffaele Giancotti, Francesco Scala, Pietro H. Guzzi, Concetta Irace, Sergio Flesca, Pierangelo Veltri:
On the identification of PoIs in glucosimeter data. ICHI 2022: 542-544 - [c120]Barbara Puccio, Ugo Lomoio, Luisa Di Paola, Pietro Hiram Guzzi, Pierangelo Veltri:
Annotating Protein Structures for Understanding SARS-CoV-2 Interactome. SEBD 2022: 427-436 - [i12]Pietro Hiram Guzzi, Luisa Di Paola, Alessandro Giuliani, Pierangelo Veltri:
Design and Development of PCN-Miner: A tool for the Analysis of Protein Contact Networks. CoRR abs/2201.05434 (2022) - [i11]Francesco Petrizzelli, Pietro Hiram Guzzi, Tommaso Mazza:
Beyond COVID-19 Pandemic: Topology-aware optimisation of vaccination strategy for minimising virus spreading. CoRR abs/2202.08229 (2022) - [i10]Pietro Hiram Guzzi, Francesco Chiodo:
Towards a Recommender System for Profiling Users in a Renewable Energetic Community. CoRR abs/2209.05465 (2022) - 2021
- [j42]Riccardo Dondi, Mohammad Mehdi Hosseinzadeh, Pietro H. Guzzi:
A novel algorithm for finding top-k weighted overlapping densest connected subgraphs in dual networks. Appl. Netw. Sci. 6(1): 40 (2021) - [j41]Jayanta Kumar Das, Giuseppe Tradigo, Pierangelo Veltri, Pietro H. Guzzi, Swarup Roy:
Data science in unveiling COVID-19 pathogenesis and diagnosis: evolutionary origin to drug repurposing. Briefings Bioinform. 22(2): 855-872 (2021) - [j40]Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
Using dual-network-analyser for communities detecting in dual networks. BMC Bioinform. 22-S(15): 614 (2021) - [j39]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Parallel and distributed association rule mining in life science: A novel parallel algorithm to mine genomics data. Inf. Sci. 575: 747-761 (2021) - [i9]Jayanta Kumar Das, Swarup Roy, Pietro Hiram Guzzi:
Analyzing Host-Viral Interactome of SARS-CoV-2 for Identifying Vulnerable Host Proteins during COVID-19 Pathogenesis. CoRR abs/2102.03253 (2021) - [i8]Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
Using Dual-Network Analyser for extracting communities from Dual Networks. CoRR abs/2103.03728 (2021) - 2020
- [j38]Pietro Hiram Guzzi, Emanuel Salerno, Giuseppe Tradigo, Pierangelo Veltri:
Extracting Dense and Connected Communities in Dual Networks: An Alignment Based Algorithm. IEEE Access 8: 162279-162289 (2020) - [j37]Giuseppe Agapito, Chiara Pastrello, Pietro Hiram Guzzi, Igor Jurisica, Mario Cannataro:
BioPAX-Parser: parsing and enrichment analysis of BioPAX pathways. Bioinform. 36(15): 4377-4378 (2020) - [j36]Marianna Milano, Wayne B. Hayes, Pierangelo Veltri, Mario Cannataro, Pietro Hiram Guzzi:
SL-GLAlign: improving local alignment of biological networks through simulated annealing. Netw. Model. Anal. Health Informatics Bioinform. 9(1): 10 (2020) - [j35]Chiara Zucco, Barbara Calabrese, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Sentiment analysis for mining texts and social networks data: Methods and tools. WIREs Data Mining Knowl. Discov. 10(1) (2020) - [c119]Pietro Hiram Guzzi, Tiziana Larussa, Rosarina Vallelunga, Ludovico Abenavoli, Giuseppe Tradigo, Francesco Luzza, Pierangelo Veltri:
A Framework for Patient Data Management and Analysis in Randomised Clinical Trials. BIBM 2020: 1442-1446 - [c118]Giuseppe Tradigo, Patrizia Vizza, Pietro Hiram Guzzi, Gionata Fragomeni, Antonio Ammendolia, Pierangelo Veltri:
A programmable device to guide rehabilitation patients: design, testing and data collection. BIBM 2020: 1487-1491 - [c117]Concettina Guerra, Pietro Hiram Guzzi:
Evaluation of the Topological Agreement of Network Alignments. BIBM 2020: 1785-1792 - [c116]Giuseppe Tradigo, Patrizia Vizza, Gabriel Gabriele, Maria Mazzitelli, Carlo Torti, Mattia Prosperi, Pietro Hiram Guzzi, Pierangelo Veltri:
On the use of clinical based infection data for pandemic case studies. BIBM 2020: 2313-2317 - [c115]Giuseppe Tradigo, Pietro Hiram Guzzi, Tamer Kahveci, Pierangelo Veltri:
A method to assess COVID-19 infected numbers in Italy during peak pandemic period. BIBM 2020: 3017-3020 - [c114]Riccardo Dondi, Pietro Hiram Guzzi, Mohammad Mehdi Hosseinzadeh:
Top-k Connected Overlapping Densest Subgraphs in Dual Networks. COMPLEX NETWORKS (2) 2020: 585-596 - [c113]Patrizia Vizza, Luigi Pascuzzi, Federica Aracri, Elmiro Tavolaro, Pasquale Lambardi, Marco Gaspari, Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
Prostate Cancer Disease Study by Integrating Peptides and Clinical Data. AAI4H@ECAI 2020: 45-48 - [c112]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
An efficient and scalable SPARK preprocessing methodology for Genome Wide Association Studies. PDP 2020: 369-375 - [c111]Giuseppe Tradigo, Patrizia Vizza, Pietro Hiram Guzzi, Pierangelo Veltri:
On the Use of GIS for Health and Epidemiology Control. SEBD 2020: 168-174 - [i7]Pietro Hiram Guzzi, Emanuel Salerno, Giuseppe Tradigo, Pierangelo Veltri:
Extracting Dense and Connected Subgraphs in Dual Networks by Network Alignment. CoRR abs/2002.01289 (2020) - [i6]Riccardo Dondi, Pietro Hiram Guzzi, Mohammad Mehdi Hosseinzadeh:
Top-k Connected Overlapping Densest Subgraphs in Dual Networks. CoRR abs/2008.01573 (2020) - [i5]Pietro Hiram Guzzi:
Using Network Embeddings for Improving Network Alignment. CoRR abs/2008.04581 (2020)
2010 – 2019
- 2019
- [j34]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Parallel extraction of association rules from genomics data. Appl. Math. Comput. 350: 434-446 (2019) - [j33]Monica Jha, Pietro Hiram Guzzi, Pierangelo Veltri, Swarup Roy:
Functional module extraction by ensembling the ensembles of selective module detectors. Int. J. Comput. Biol. Drug Des. 12(4): 345-361 (2019) - [j32]Monica Jha, Pietro Hiram Guzzi, Swarup Roy:
Qualitative assessment of functional module detectors on microarray and RNASeq data. Netw. Model. Anal. Health Informatics Bioinform. 8(1): 1 (2019) - [j31]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Using multiple network alignment for studying connectomes. Netw. Model. Anal. Health Informatics Bioinform. 8(1): 5 (2019) - [j30]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Network building and analysis in connectomics studies: a review of algorithms, databases and technologies. Netw. Model. Anal. Health Informatics Bioinform. 8(1): 13 (2019) - [j29]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
GLAlign: A Novel Algorithm for Local Network Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1958-1969 (2019) - [c110]Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Mario Cannataro:
A pipeline for mining association rules from large datasets of retailers invoices. APPIS 2019: 6:1-6:6 - [c109]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Towards Local Alignment of Multiple Networks: Multi-GLAlign. BCB 2019: 658-662 - [c108]Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Sabrina Graziano, Mario Cannataro:
Association Rule Mining from large datasets of clinical invoices document. BIBM 2019: 2232-2238 - [c107]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Mining Association Rules From Disease Ontology. BIBM 2019: 2239-2243 - [c106]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Pathway Analysis for SNP microarray data. BIBM 2019: 2244-2250 - [c105]Giuseppe Tradigo, Patrizia Vizza, Giuseppe Brescia, Pietro Hiram Guzzi, Pierangelo Veltri:
A geographical patients based health information system. BIBM 2019: 2300-2303 - [c104]Giuseppe Tradigo, Patrizia Vizza, Pierangelo Veltri, Pasquale Lambardi, Fulvia Michela Caligiuri, Gianmichele Caligiuri, Pietro Hiram Guzzi:
SISTABENE: an information system for the traceability of agricultural food production. BIBM 2019: 2304-2309 - [c103]Giuseppe Agapito, Mario Cannataro, Pietro H. Guzzi, Marianna Milano:
Learning Weighted Association Rules in Human Phenotype Ontology. CIBB 2019: 245-256 - [c102]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
Parallel Learning of Weighted Association Rules in Human Phenotype Ontology. Euro-Par Workshops 2019: 549-559 - [c101]Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
Using Dual Networks for the Integration of Clinical and Biological Data. ICHI 2019: 1-2 - [c100]Giuseppe Tradigo, Patrizia Vizza, Pierangelo Veltri, Pietro Hiram Guzzi:
An Information System to Track Data and Processes for Food Quality and Bacterial Pathologies Prevention. SEBD 2019 - [r7]Pietro Hiram Guzzi:
Algorithms for Strings and Sequences: Multiple Alignment. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 30-31 - [r6]Pietro H. Guzzi:
Computing Languages for Bioinformatics: Python. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 195-198 - [r5]Pietro H. Guzzi:
Computing Languages for Bioinformatics: Java. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 206-208 - [r4]Pietro H. Guzzi:
Ontology in Bioinformatics. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 809-812 - [r3]Pietro H. Guzzi:
Ontology-Based Annotation Methods. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 867-869 - [r2]Pietro H. Guzzi:
Functional Enrichment Analysis Methods. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 896-897 - [r1]Maria Teresa Di Martino, Pietro H. Guzzi:
Integrative Bioinformatics of Transcriptome: Databases, Tools and Pipelines. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 1099-1103 - 2018
- [j28]Pietro Hiram Guzzi, Tijana Milenkovic:
Survey of local and global biological network alignment: the need to reconcile the two sides of the same coin. Briefings Bioinform. 19(3): 472-481 (2018) - [j27]Giuseppe Agapito, Mariadelina Simeoni, Barbara Calabrese, Ilaria Care, Theodora Lamprinoudi, Pietro Hiram Guzzi, Arturo Pujia, Giorgio Fuiano, Mario Cannataro:
DIETOS: A dietary recommender system for chronic diseases monitoring and management. Comput. Methods Programs Biomed. 153: 93-104 (2018) - [j26]Marianna Milano, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
An experimental study of information content measurement of gene ontology terms. Int. J. Mach. Learn. Cybern. 9(3): 427-439 (2018) - [c99]Marianna Milano, Wayne B. Hayes, Pierangelo Veltri, Mario Cannataro, Pietro Hiram Guzzi:
SL-GLAlign: Improving the Local Alignment of Biological Networks through Simulated Annealing. BCB 2018: 577-578 - [c98]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
HetNetAligner: A Novel Algorithm for Local Alignment of Heterogeneous Biological Networks. BCB 2018: 598-599 - [c97]Giuseppe Tradigo, Patrizia Vizza, Pasquale Lambardi, Pietro Hiram Guzzi, Aldo Quattrone, Pierangelo Veltri:
A Voice-Aware System for Vocal Wellness. BCB 2018: 693-698 - [c96]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
S4S: RESTful Services to Collect, Integrate and Analyze SNPs and Clinical Data on the Web. BIBM 2018: 1686-1692 - [c95]Patrizia Vizza, Giuseppe Tradigo, Pierangelo Veltri, Pasquale Lambardi, Claudia Garofalo, Fulvia Michela Caligiuri, Gianmichele Caligiuri, Pietro Hiram Guzzi:
Tracking agricultural products for wellness care. BIBM 2018: 2064-2067 - [c94]Pietro Cinaglia, Pietro Hiram Guzzi, Pierangelo Veltri:
INTEGRO: an algorithm for data-integration and disease-gene association. BIBM 2018: 2076-2081 - [c93]Antara Sengupta, Pabitra Pal Choudhury, Hazel Nicolette Manners, Pietro Hiram Guzzi, Swarup Roy:
Chemical Characterization of Interacting Genes in Few Subnetworks of Alzheimer's Disease. BIBM 2018: 2720-2725 - [c92]Marianna Milano, Pierangelo Veltri, Mario Cannataro, Pietro Hiram Guzzi:
Towards Heterogeneous Network Alignment: Design and Implementation of a Large-Scale Data Processing Framework. Euro-Par Workshops 2018: 692-703 - [c91]Patrizia Vizza, Giuseppe Tradigo, Marianna Parrilla, Pietro Hiram Guzzi, Agostino Gnasso, Pierangelo Veltri:
On Blood Viscosity and Its Correlation with Biological Parameters. ICCS (2) 2018: 347-353 - [c90]Giuseppe Tradigo, Patrizia Vizza, Pasquale Lambardi, Silvio Cosoleto, Pietro Hiram Guzzi, Mario Cannataro, Aldo Quattrone, Pierangelo Veltri:
VOTA - A Vocal Tract and Training Analysis Tool. ICHI 2018: 403-404 - [p2]Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
Database Community and Health Related Data: Experiences Through the Last Decade. A Comprehensive Guide Through the Italian Database Research 2018: 473-487 - [i4]Pietro Hiram Guzzi, Marianna Milano, Pierangelo Veltri, Mario Cannataro:
HetNetAligner: Design and Implementation of an algorithm for heterogeneous network alignment on Apache Spark. CoRR abs/1806.03845 (2018) - 2017
- [j25]Marianna Milano, Pietro Hiram Guzzi, Olga Tymofiyeva, Duan Xu, Christopher Paul Hess, Pierangelo Veltri, Mario Cannataro:
An extensive assessment of network alignment algorithms for comparison of brain connectomes. BMC Bioinform. 18(6): 31-45 (2017) - [j24]Giovanni Canino, Pietro Hiram Guzzi, Giuseppe Tradigo, Aidong Zhang, Pierangelo Veltri:
On the Analysis of Diseases and Their Related Geographical Data. IEEE J. Biomed. Health Informatics 21(1): 228-237 (2017) - [c89]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Using GenotypeAnalytics to Analyze Pharmacogenomic Datasets. BCB 2017: 740-743 - [c88]Monica Jha, Pierangelo Veltri, Pietro Hiram Guzzi, Swarup Roy:
Network based algorithms for module extraction from RNASeq data: A quantitative assessment. BIBM 2017: 1312-1315 - [c87]Hazel N. Manners, Ahed Elmsallati, Pietro Hiram Guzzi, Swarup Roy, Jugal K. Kalita:
Performing local network alignment by ensembling global aligners. BIBM 2017: 1316-1323 - [c86]Pietro Hiram Guzzi, Mario Cannataro, Pierangelo Veltri:
Using Graphs to Relate Patient's Clinical and Geographical Data. FNC/MobiSPC 2017: 448-452 - [c85]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Using Multi Network Alignment for Analysis of Connectomes. ICCS 2017: 1155-1164 - [c84]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
High Performance Analysis of Omics Data: Experiences at University Magna Graecia of Catanzaro. HPCS 2017: 929-932 - [c83]Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Gionata Fragomeni, Giuseppe Tradigo, Pierangelo Veltri, Mario Cannataro:
Parallel and Cloud-Based Analysis of Omics Data: Modelling and Simulation in Medicine. PDP 2017: 519-526 - [c82]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Learning Association Rules for Pharmacogenomic Studies. NFMCP@PKDD/ECML 2017: 1-15 - [c81]Giuseppe Agapito, Mariadelina Simeoni, Barbara Calabrese, Pietro Hiram Guzzi, Giorgio Fuiano, Mario Cannataro:
DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases. HealthRecSys@RecSys 2017: 32-35 - [c80]Pietro Hiram Guzzi, Pierangelo Veltri, Swarup Roy, Jugal Kalita:
A Novel Algorithm for Local Alignment of Protein Interaction Networks: MODULA. SEBD 2017: 114 - [c79]Giuseppe Tradigo, Rocco Picarelli, Luciano Caroprese, Paolo Cappadone, Ester Zumpano, Andrea Tagarelli, Angelo Furfaro, Carlo Tansi, Pierangelo Veltri, Pietro Hiram Guzzi:
A cloud based framework for Emergency Management: experiences in Calabria Region. SEBD 2017: 275 - [c78]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Parallel and Distributed Analysis of Microarray Data. TopHPC 2017: 275-288 - [i3]Pietro Hiram Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro:
Learning Weighted Association Rules in Human Phenotype Ontology. CoRR abs/1701.00077 (2017) - [i2]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
GenotypeAnalytics: a RESTFul platform to mine multiple associations between SNPs and drug response in case-control studies. PeerJ Prepr. 5: e3299 (2017) - 2016
- [j23]Pietro Hiram Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro:
Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine. Briefings Bioinform. 17(4): 553-561 (2016) - [j22]Pietro Hiram Guzzi, Marco Mina:
Guest Editorial for Special Section on Semantic-Based Approaches for Analysis of Biological Data. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 196 (2016) - [j21]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 197-208 (2016) - [c77]Giovanni Canino, Qiuling Suo, Pietro Hiram Guzzi, Giuseppe Tradigo, Aidong Zhang, Pierangelo Veltri:
Feature Selection Model for Diagnosis, Electronic Medical Records and Geographical Data Correlation. BCB 2016: 616-621 - [c76]Marianna Milano, Olga Tymofiyeva, Duan Xu, Christopher Paul Hess, Mario Cannataro, Pietro Hiram Guzzi:
Using Network Alignment for Analysis of Connectomes: Experiences from a Clinical Dataset. BCB 2016: 649-656 - [c75]Patrizia Vizza, Pietro Hiram Guzzi, Pierangelo Veltri, Giuseppe Lucio Cascini, Rosario Curia, Loredana Sisca:
GIDAC: A prototype for bioimages annotation and clinical data integration. BIBM 2016: 1028-1031 - [c74]Patrizia Vizza, Pietro Hiram Guzzi, Pierangelo Veltri, Annalisa Papa, Giuseppe Lucio Cascini, Giorgio Sesti, Elena Succurro:
Experiences on quantitative cardiac PET analysis. BIBM 2016: 1148-1153 - [c73]Marianna Milano, Mario Cannataro, Pietro Hiram Guzzi:
GLAlign: Using global graph alignment to improve local graph alignment. BIBM 2016: 1695-1702 - [c72]Giovanni Canino, Mariagrazia Scarpino, Francesca Cristiano, Domenico Mirarchi, Giuseppe Tradigo, Pietro Hiram Guzzi, Giovanni Cuda, Pierangelo Veltri:
Geoblood: A Web Based Tool for Geo-analysis of Biological Data. EUSPN/ICTH 2016: 473-478 - [c71]Hazel Nicolette Manners, Monica Jha, Pietro H. Guzzi, Pierangelo Veltri, Swarup Roy:
Computational Methods for Detecting Functional Modules from Gene Regulatory Network. ICTCS 2016: 3:1-3:6 - [c70]F. Ciullo, Chiara Zucco, Barbara Calabrese, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Computational challenges for sentiment analysis in life sciences. HPCS 2016: 419-426 - [c69]Giovanni Canino, Pietro Hiram Guzzi, Mariagrazia Scarpino, Giuseppe Tradigo, Pierangelo Veltri:
Patient wellness: geoanalysis of biological and environmental data. SEBD 2016: 278-285 - [c68]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Efficient Data Mining Analysis of Genomics and Clinical Data for Pharmacogenomics Applications. WILF 2016: 239-248 - [c67]Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Mario Cannataro, Mariadelina Simeoni, Ilaria Care, Theodora Lamprinoudi, Giorgio Fuiano, Arturo Pujia:
DIETOS: A recommender system for adaptive diet monitoring and personalized food suggestion. WiMob 2016: 1-8 - [p1]Domenico Mirarchi, Patrizia Vizza, Eugenio Vocaturo, Pietro Hiram Guzzi, Pierangelo Veltri:
A New ICT Based Model for Wellness and Health Care. Advances in Neural Networks 2016: 243-252 - 2015
- [j20]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
Using GO-WAR for mining cross-ontology weighted association rules. Comput. Methods Programs Biomed. 120(2): 113-122 (2015) - [j19]Pietro Hiram Guzzi, Maria Teresa Di Martino, Pierosandro Tagliaferri, Pierfrancesco Tassone, Mario Cannataro:
Analysis of miRNA, mRNA, and TF interactions through network-based methods. EURASIP J. Bioinform. Syst. Biol. 2015: 4 (2015) - [j18]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
DMET-Miner: Efficient discovery of association rules from pharmacogenomic data. J. Biomed. Informatics 56: 273-283 (2015) - [j17]Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
GoD: An R-package based on ontologies for prioritization of genes with respect to diseases. J. Comput. Sci. 9: 7-13 (2015) - [j16]Pietro Hiram Guzzi, Marianna Milano, Pierangelo Veltri, Mario Cannataro:
Using SSN-Analyzer for analysis of semantic similarity networks. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 6 (2015) - [c66]Pietro Hiram Guzzi, Marianna Milano, Swarup Roy:
Towards the assessment of GRN algorithms based on (disease) ontology. BCB 2015: 561-567 - [c65]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Efficient learning of association rules from human phenotype ontology. BCB 2015: 568-573 - [c64]Giuseppe Agapito, Pietro Hiram Guzzi, C. Botta, Mariamena Arbitrio, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro:
Overall Survival Analyzer: A software tool to analyze genotyping and clinical data enriched with temporal events. BIBM 2015: 1427-1433 - [c63]Pietro Hiram Guzzi, Pierangelo Veltri, Swarup Roy, Jugal K. Kalita:
MODULA: A network module based local protein interaction network alignment method. BIBM 2015: 1620-1623 - [c62]Domenico Mirarchi, Patrizia Vizza, Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
ICT Solutions for Health Education Model. CBMS 2015: 31-32 - [c61]Manuela Macrí, Marco Antonio Mastratisi, Domenico Mirarchi, Erika De Francesco, Luigi Granata, Giuseppe Tradigo, Pietro Hiram Guzzi, Pierangelo Veltri:
LiSE: A Personal Booklet for Health Care Annotation. ICHI 2015: 362-367 - [c60]Giuseppe Tradigo, Carmine Pagliaro, Giovanni Canino, Pietro Hiram Guzzi, Pierangelo Veltri:
GIS for the analysis and monitoring of environmental issues related to life quality. SEBD 2015: 320-326 - 2014
- [j15]Pietro Hiram Guzzi, Giuseppe Agapito, Mario Cannataro:
coreSNP: Parallel Processing of Microarray Data. IEEE Trans. Computers 63(12): 2961-2974 (2014) - [j14]Marco Mina, Pietro Hiram Guzzi:
Improving the Robustness of Local Network Alignment: Design and Extensive Assessmentof a Markov Clustering-Based Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 11(3): 561-572 (2014) - [c59]Marianna Milano, Pietro Hiram Guzzi, Pierangelo Veltri, Mario Cannataro:
A web-based tool to analyze semantic similarity networks. BCB 2014: 612-613 - [c58]Mario Cannataro, Pietro Hiram Guzzi:
A taxonomy for bioinformatics tools: exploiting semantics, parallelism, and services for analyzing omics data. BCB 2014: 805-812 - [c57]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Improving annotation quality in gene ontology by mining cross-ontology weighted association rules. BIBM 2014: 1-8 - [c56]Marianna Milano, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Biases in information content measurement of gene ontology terms. BIBM 2014: 9-16 - [c55]Pietro Hiram Guzzi, Giuseppe Agapito, Maria Teresa Di Martino, Mariamena Arbitrio, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro:
DMET-miner: Efficient learning of association rules from genotyping data for personalized medicine. BIBM 2014: 59-62 - [c54]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations. CIBB 2014: 3-18 - [c53]Giovanni Canino, Pietro Hiram Guzzi, Giuseppe Tradigo, Aidong Zhang, Pierangelo Veltri:
A system for geoanalysis of clinical and geographical data. HealthGIS 2014: 57-62 - [c52]Giuseppe Agapito, Barbara Calabrese, Ilaria Care, Daniela Falcone, Pietro Hiram Guzzi, Nicola Ielpo, Theodora Lamprinoudi, Marianna Milano, Mariadelina Simeoni, Mario Cannataro:
Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents. HPCS 2014: 616-620 - [c51]Pietro Hiram Guzzi, Marianna Milano, Mario Cannataro:
Mining Association Rules from Gene Ontology and Protein Networks: Promises and Challenges. ICCS 2014: 1970-1980 - [c50]Giovanni Canino, Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
Relating Clinical Diagnosis and Biological Analytes via EMRs Clustering. ICHI 2014: 328-333 - [c49]Pietro Hiram Guzzi, Elio Masciari, Giuseppe Massimiliano Mazzeo, Carlo Zaniolo:
A Discussion on the Biological Relevance of Clustering Results. ITBAM 2014: 30-44 - [c48]Giovanni Canino, Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
Geoanalysis of Clinical Diagnoses and Biological Analytes Data. SEBD 2014: 53-60 - [i1]Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, Pierangelo Veltri:
A web-based tool to Analyze Semantic Similarity Networks. CoRR abs/1412.7386 (2014) - 2013
- [j13]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Visualization of protein interaction networks: problems and solutions. BMC Bioinform. 14(S-1): S1 (2013) - [j12]Pietro Hiram Guzzi, Mario Cannataro:
Micro-Analyzer: Automatic preprocessing of Affymetrix microarray data. Comput. Methods Programs Biomed. 111(2): 402-409 (2013) - [j11]Mario Cannataro, Pietro Hiram Guzzi, Alessia Sarica:
Data mining and life sciences applications on the grid. WIREs Data Mining Knowl. Discov. 3(3): 216-238 (2013) - [c47]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio:
Cloud4SNP: Distributed Analysis of SNP Microarray Data on the Cloud. BCB 2013: 468 - [c46]Pietro Hiram Guzzi, Simone Truglia, Marianna Milano, Pierangelo Veltri, Mario Cannataro:
Modularity and community detection in Semantic Similarity Networks trough Spectral Based Transformation and Markov Clustering. BCB 2013: 652 - [c45]Pietro Hiram Guzzi, Marco Mina, Concettina Guerra, Mario Cannataro:
Modularity and community detection in Semantic Similarity Networks trough Spectral Based Transformation and Markov Clustering. BCB 2013: 714 - [c44]Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri:
Using open data in health care and tourism. BIBM 2013: 30-33 - [c43]Alessia Sarica, Claudia Critelli, Pietro Hiram Guzzi, Antonio Cerasa, Aldo Quattrone, Mario Cannataro:
Application of different classification techniques on brain morphological data. CBMS 2013: 425-428 - [c42]Pietro Hiram Guzzi, Pierangelo Veltri, Mario Cannataro:
Thresholding of Semantic Similarity Networks Using a Spectral Graph-Based Technique. NFMCP 2013: 201-213 - [c41]Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri, Mario Cannataro:
Studying miRNA-mRNA associations by using graphs. SEBD 2013: 231-238 - [c40]Marco Mina, Pietro Hiram Guzzi:
Semantic Analysis of Proteomics Data. SEBD 2013: 413-420 - 2012
- [j10]Pietro Hiram Guzzi, Marco Mina, Concettina Guerra, Mario Cannataro:
Semantic similarity analysis of protein data: assessment with biological features and issues. Briefings Bioinform. 13(5): 569-585 (2012) - [j9]Pietro Hiram Guzzi, Giuseppe Agapito, Maria Teresa Di Martino, Mariamena Arbitrio, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro:
DMET-Analyzer: automatic analysis of Affymetrix DMET Data. BMC Bioinform. 13: 258 (2012) - [j8]Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
On the choice of centralized vs decentralized systems for EPR in hospitals. SIGHIT Rec. 2(1): 19 (2012) - [j7]Michelangelo Ceci, Pietro Hiram Guzzi, Elio Masciari, Mauro Coluccia, Federica Mandreoli, Massimo Mecella, Fabio Fumarola, Riccardo Martoglia, Wilma Penzo:
The IS-BioBank project: a framework for biological data normalization, interoperability, and mining for cancer microenvironment analysis. SIGHIT Rec. 2(2): 16-21 (2012) - [c39]Pietro Hiram Guzzi, Pierangelo Veltri, Mario Cannataro:
Unraveling multiple miRNA-mRNA associations through a graph-based approach. BCB 2012: 649-654 - [c38]Marco Mina, Pietro Hiram Guzzi:
AlignMCL: Comparative analysis of protein interaction networks through Markov clustering. BIBM Workshops 2012: 174-181 - [c37]Pietro Hiram Guzzi, Mario Cannataro:
CytoMCL: A Cytoscape plugin for fast clustering of protein interaction networks. CBMS 2012: 1-5 - [c36]Alessia Sarica, Pietro Hiram Guzzi, Domenico Flotta, Carmelo G. A. Nobile, Mario Cannataro:
SySQ: A Web-based system for survey and questionnaire management in medicine. CBMS 2012: 1-6 - [c35]Salvatore Scaramuzzino, Pietro Hiram Guzzi, Claudio Petrolo, Giuseppe Chiarella, Pierangelo Veltri, Mario Cannataro:
audioEPR: A specialized electronic patient records for the semi-automatic management of clinical data in audiology. CBMS 2012: 1-4 - [c34]Giuseppe Tradigo, Mario Cannataro, Pietro Hiram Guzzi, Francesco Casalinuovo, Pierangelo Veltri, Caterina Graziani:
Health risk assessment of zoonotic infections agents through plant products in areas with high livestock pressure. HealthGIS 2012: 72-74 - [c33]Michelangelo Ceci, Fabio Fumarola, Pietro Hiram Guzzi, Federica Mandreoli, Riccardo Martoglia, Elio Masciari, Massimo Mecella, Wilma Penzo:
Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Data. ITBAM 2012: 109-123 - [c32]Michelangelo Ceci, Mauro Coluccia, Fabio Fumarola, Pietro Hiram Guzzi, Federica Mandreoli, Riccardo Martoglia, Elio Masciari, Massimo Mecella, Wilma Penzo:
A Framework for Biological Data Normalization, Interoperability, and Mining for Cancer Microenvironment Analysis. SEBD 2012: 67-74 - 2011
- [j6]Pietro Hiram Guzzi, Maria Teresa Di Martino, Giuseppe Tradigo, Pierangelo Veltri, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro:
Automatic summarisation and annotation of microarray data. Soft Comput. 15(8): 1505-1512 (2011) - [c31]Pietro Hiram Guzzi, Pierangelo Veltri, Mario Cannataro:
Experimental evaluation of OntoPIN: an ontology-annotated PPI database. BCB 2011: 656-660 - [c30]Pietro Hiram Guzzi, Pierangelo Veltri, Mario Cannataro:
VeNet: A framework for the analysis of protein interaction networks through vector space embedding. BIBM Workshops 2011: 481-487 - [c29]Pietro Hiram Guzzi, Marianna Milano, Pierangelo Veltri, Mario Cannataro:
Using semantic similarity to detect features in yeast protein complexes. BIBM Workshops 2011: 495-502 - [c28]Pietro Hiram Guzzi, Mario Cannataro:
Challenges in microarray data management and analysis. CBMS 2011: 1-6 - [c27]Mario Cannataro, Pietro Hiram Guzzi:
Distributed Management and Analysis of Omics Data. Euro-Par Workshops (2) 2011: 43-52 - [c26]Barbara Calabrese, Franco Pucci, Miriam Sturniolo, Pietro Hiram Guzzi, Pierangelo Veltri, Antonio Gambardella, Mario Cannataro:
A System for the Analysis of Snore Signals. ICCS 2011: 1101-1108 - 2010
- [j5]Pietro Hiram Guzzi, Mario Cannataro:
mu-CS: An extension of the TM4 platform to manage Affymetrix binary data. BMC Bioinform. 11: 315 (2010) - [j4]Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri:
Protein-to-protein interactions: Technologies, databases, and algorithms. ACM Comput. Surv. 43(1): 1:1-1:36 (2010) - [j3]Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri:
IMPRECO: Distributed prediction of protein complexes. Future Gener. Comput. Syst. 26(3): 434-440 (2010) - [c25]Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri:
Using RDF for managing protein-protein interaction data. BCB 2010: 664-670 - [c24]Vera Tomaino, Pietro Hiram Guzzi, Mario Cannataro, Pierangelo Veltri:
Experimental comparison of biclustering algorithms for PPI networks. BCB 2010: 671-676 - [c23]Mario Cannataro, Pietro Hiram Guzzi:
Management and Analysis of Protein-to-Protein Interaction Data. CIBB 2010: 1-12 - [c22]Pietro Hiram Guzzi, Mario Cannataro:
Parallel Pre-processing of Affymetrix Microarray Data. Euro-Par Workshops 2010: 225-232 - [c21]Giuseppe Tradigo, Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri:
Geomedica: a web portal for managing and querying clinical and biological data (Demo Paper). SEBD 2010: 350-353 - [c20]Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri:
Using ontologies for querying and analysing protein-protein interaction data. ICCS 2010: 997-1004
2000 – 2009
- 2009
- [c19]Mario Cannataro, Pietro Hiram Guzzi, Marcelo Lobosco, Rodrigo Weber dos Santos:
GridSnake: A Grid-based implementation of the Snake segmentation algorithm. CBMS 2009: 1-6 - [c18]Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri:
Using ontologies for annotating and retrieving protein-protein interactions data. CBMS 2009: 1-5 - [c17]Pietro Hiram Guzzi, Mario Cannataro:
Using ontologies for querying and analysing protein-protein interaction data. SWAT4LS 2009 - 2008
- [c16]Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri:
myMCL: A Web Portal for Protein Complexes Prediction. CBMS 2008: 179-184 - [c15]Mario Cannataro, Maria Teresa Di Martino, Pietro Hiram Guzzi, Pierosandro Tagliaferri, Pierfrancesco Tassone, Giuseppe Tradigo, Pierangelo Veltri:
An Extension of the TIGR M4 Suite to Preprocess and Visualize Affymetrix Binary Files. CIBB 2008: 265-274 - [c14]Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri:
A Grid-based Protein Complex Predictor. HealthGrid 2008: 116-124 - [c13]Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri:
IMPRECO: A Tool for Improving the Prediction of Protein Complexes. ICCS (3) 2008: 148-157 - [c12]Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
Scalable biomedical and bioinformatics applications. Infoscale 2008: 21 - [c11]Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
A Tool for the Semiautomatic Acquisition of the Morphological Data of Blood Vessel Networks. ISPA 2008: 837-840 - 2007
- [j2]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza, Giuseppe Tradigo, Pierangelo Veltri:
Using ontologies for preprocessing and mining spectra data on the Grid. Future Gener. Comput. Syst. 23(1): 55-60 (2007) - 2006
- [j1]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza, Giuseppe Tradigo, Pierangelo Veltri:
Managing ontologies for Grid computing. Multiagent Grid Syst. 2(1): 29-44 (2006) - [c10]Pietro Hiram Guzzi, Mario Cannataro, Marco Gaspari, Tommaso Mazza, Barbara Quaresima, Pierangelo Veltri, Francesco Saverio Costanzo:
Analysis and Classification of Proteomics Data, a Case Study. CBMS 2006: 913-918 - [c9]Giuditta Franco, Pietro Hiram Guzzi, Vincenzo Manca, Tommaso Mazza:
Mitotic Oscillators as MP Graphs. Workshop on Membrane Computing 2006: 382-394 - 2005
- [c8]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza, Giuseppe Tradigo, Pierangelo Veltri:
Preprocessing of Mass Spectrometry Proteomics Data on the Grid. CBMS 2005: 549-554 - [c7]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza, Giuseppe Tradigo, Pierangelo Veltri:
Using Ontologies in PROTEUS for Modeling Proteomics Data Mining Applications. HealthGrid 2005: 17-26 - [c6]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza, Giuseppe Tradigo, Pierangelo Veltri:
Algorithms and Databases in Bioinformatics: Towards a Proteomic Ontology. ITCC (1) 2005: 322-328 - [c5]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza, Pierangelo Veltri:
MS-Analyzer: Intelligent Preprocessing, Management, and Data Mining Analysis of Mass Spectrometry Data on the Grid. SKG 2005: 22 - [c4]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza, Pierangelo Veltri:
Distributed Management of Ontologies on the Grid. WETICE 2005: 261-266 - [c3]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza, Giuseppe Tradigo, Pierangelo Veltri:
On the Preprocessing of Mass Spectrometry Proteomics Data. WIRN/NAIS 2005: 127-131 - 2004
- [c2]Mario Cannataro, Pietro Hiram Guzzi, Tommaso Mazza, Pierangelo Veltri:
Using PROTEUS for Modeling Data Mining Analysis of Proteomics Experiments on the Grid. OTM Workshops 2004: 232-243 - [c1]Francesco Baudi, Mario Cannataro, Rita Casadonte, Francesco Costanzo, Giovanni Cuda, Maria Concetta Faniello, Marco Gaspari, Pietro Hiram Guzzi, Tommaso Mazza, Barbara Quaresima, Pierosandro Tagliaferri, Giuseppe Tradigo, Pierangelo Veltri, Salvatore Venuta:
Mass Spectrometry Data Analysis for Early Detection of Inherited Breast Cancer. WIRN 2004: 21-28
Coauthor Index
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