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Pietro Hiram Guzzi
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2020 – today
- 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) - [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]