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ORCIDMario Cannataro
Person information
- affiliation: Magna Græcia University of Catanzaro, Department of Medical and Surgical Sciences, Italy
- affiliation: National Research Council, Italy
- affiliation: University of Calabria, Rende, Italy
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2020 – today
- 2024
[c189]Luca Barillaro
, Marianna Milano, Maria Eugenia Caligiuri, Jelle R. Dalenberg, Giuseppe Agapito, Michael Biehl, Mario Cannataro:
A Graph-Theory Based fMRI Analysis. ICCS (6) 2024: 72-85- [c188]Maria Chiara Martinis, Chiara Zucco, Mario Cannataro:
Negation Detection in Medical Texts. ICCS (4) 2024: 75-87 - [c187]Ilaria Lazzaro, Marianna Milano, Mario Cannataro:
A Pipeline for the Analysis of Multilayer Brain Networks. ICCS (6) 2024: 86-98 - [c186]Marianna Milano, Ilaria Lazzaro, Mario Cannataro:
Multilayer Networks: A Survey on Models, Analysis of Algorithms and Database. IWBBIO (1) 2024: 202-216 - [c185]Giuseppe Agapito, Gaetano Guardasole, Mario Cannataro:
Efficient GPU Processing Method to Analyze Large GWAS Data Sets. PDP 2024: 260-265 - 2023
- [j81]Giuseppe Agapito, Mario Cannataro:
An Overview on the Challenges and Limitations Using Cloud Computing in Healthcare Corporations. Big Data Cogn. Comput. 7(2): 68 (2023) - [j80]Pietro Cinaglia, José Luis Vázquez-Poletti, Mario Cannataro:
Massive Parallel Alignment of RNA-seq Reads in Serverless Computing. Big Data Cogn. Comput. 7(2): 98 (2023) - [j79]Marianna Milano, Mario Cannataro:
Network models in bioinformatics: modeling and analysis for complex diseases. Briefings Bioinform. 24(2) (2023) - [j78]Olga Valenzuela, Mario Cannataro, Irena Rusur, Jianxin Wang, Zhongming Zhao, Ignacio Rojas:
Advances and challenges in Bioinformatics and Biomedical Engineering: IWBBIO 2020. BMC Bioinform. 24-S(1): 361 (2023) - [j77]Pietro Cinaglia, Marianna Milano, Mario Cannataro:
Multilayer network alignment based on topological assessment via embeddings. BMC Bioinform. 24(1): 416 (2023) - [j76]Pietro Cinaglia, Mario Cannataro:
A Method Based on Temporal Embedding for the Pairwise Alignment of Dynamic Networks. Entropy 25(4): 665 (2023) - [j75]Pietro Cinaglia, Mario Cannataro:
Identifying Candidate Gene-Disease Associations via Graph Neural Networks. Entropy 25(6): 909 (2023) - [j74]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) - [j73]Roberto Marangoni, Vitoantonio Bevilacqua, Mario Cannataro, Bruno Hay Mele, Giancarlo Mauri, Anna Marabotti:
An overview of bioinformatics courses delivered at the academic level in Italy: Reflections and recommendations from BITS. PLoS Comput. Biol. 19(2) (2023) - [j72]Pietro Cinaglia, Mario Cannataro:
MultiGlobAl: Global alignment of multilayer networks. SoftwareX 24: 101552 (2023) - [c184]Giuseppe Agapito, Mario Cannataro, Pietro Cinaglia, Gaetano Guardasole, Marianna Milano:
Use Predictive Learning Model to Tackle Data Breaches in Healthcare Domain. BIBM 2023: 3273-3279 - [c183]Lorella Bottino, Mario Cannataro:
Explanation of machine learning models for predicting obesity level using Shapley values. BIBM 2023: 3288-3291 - [c182]Pietro Cinaglia, Mario Cannataro:
A method for modelling and executing customized pipelines in serverless computing. BIBM 2023: 3453-3458 - [c181]Gessica Fulciniti, Abdellah Kabli, Mario Cannataro, Gaetano Guardasole, Giuseppe Agapito:
Artificial Intelligence to Analyze Huge Amounts of Juridical Documents via Edge Computing. EWSN 2023: 351-356 - [c180]Maria Chiara Martinis, Ileana Scarpino, Chiara Zucco, Mario Cannataro:
Investigating the Sentiment in Italian Long-COVID Narrations. ICCS (2) 2023: 678-690 - [c179]Luca Barillaro, Giuseppe Agapito, Mario Cannataro:
Using Edge-based Deep Learning Model for Early Detection of Cancer. PDP 2023: 252-257 - [c178]Lorella Bottino, Marzia Settino, Mario Cannataro:
Distributed ICT solutions for scoliosis management. PDP 2023: 258-262 - [c177]Luca Barillaro, Giuseppe Agapito, Mario Cannataro:
High performance deep learning libraries for biomedical applications. PDP 2023: 271-274 - [i5]Marianna Milano, Pietro Cinaglia, Pietro Hiram Guzzi, Mario Cannataro:
MuLaN: a MultiLayer Networks Alignment Algorithm. CoRR abs/2309.07482 (2023) - 2022
- [j71]Giuseppe Agapito, Marianna Milano, Mario Cannataro:
A statistical network pre-processing method to improve relevance and significance of gene lists in microarray gene expression studies. BMC Bioinform. 23-S(6): 393 (2022) - [j70]Marianna Milano, Chiara Zucco, Marzia Settino, Mario Cannataro:
An Extensive Assessment of Network Embedding in PPI Network Alignment. Entropy 24(5): 730 (2022) - [j69]Pietro Cinaglia, Mario Cannataro:
Forecasting COVID-19 Epidemic Trends by Combining a Neural Network with Rt Estimation. Entropy 24(7): 929 (2022) - [j68]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks. Entropy 24(9): 1272 (2022) - [j67]Pietro Cinaglia, Mario Cannataro:
Network alignment and motif discovery in dynamic networks. Netw. Model. Anal. Health Informatics Bioinform. 11(1): 38 (2022) - [j66]Giuseppe Agapito, Marianna Milano, Mario Cannataro:
Parallel Network Analysis and Communities Detection (PANC) Pipeline for the Analysis and Visualization of COVID-19 Data. Parallel Process. Lett. 32(1&2): 2142002:1-2142002:20 (2022) - [c176]Maria Chiara Martinis, Chiara Zucco, Mario Cannataro:
An Italian lexicon-based sentiment analysis approach for medical applications. BCB 2022: 70:1-70:4 - [c175]Lorella Bottino, Marzia Settino, Mario Cannataro:
Scoliosis management through apps. BCB 2022: 72:1-72:4 - [c174]Luca Barillaro, Giuseppe Agapito, Mario Cannataro:
Scalable deep learning for healthcare: methods and applications. BCB 2022: 73:1-73:8 - [c173]Luca Barillaro, Giuseppe Agapito, Mario Cannataro:
Edge-based Deep Learning in Medicine: Classification of ECG signals. BIBM 2022: 2169-2174 - [c172]Pietro Cinaglia, José Luis Vázquez-Poletti, Mario Cannataro:
Serverless computing for RNA-Seq data analysis. BIBM 2022: 2175-2181 - [c171]Pietro Cinaglia, Mario Cannataro:
Alignment of Dynamic Networks based on Temporal Embeddings. BIBM 2022: 2511-2518 - [c170]Pietro Cinaglia, Mario Cannataro:
A Flexible Automated Pipeline Engine for Transcript-Level Quantification from RNA-seq. ER (Workshops) 2022: 45-54 - [c169]Chiara Zucco, Barbara Calabrese, Rossana Mancuso, Miriam Sturniolo, Antonio Gambardella, Mario Cannataro:
Resting-State EEG Classification for PNES Diagnosis. ICCS (1) 2022: 526-538 - [c168]Ileana Scarpino, Rosarina Vallelunga, Francesco Luzza, Mario Cannataro:
Machine Learning Approaches in Inflammatory Bowel Disease. ICCS (1) 2022: 539-545 - [c167]Giuseppe Agapito, Mario Cannataro:
A parallel software pipeline to select relevant genes for pathway enrichment. PDP 2022: 219-225 - 2021
- [j65]Mario Cannataro, Andrew Harrison:
Bioinformatics helping to mitigate the impact of COVID-19 - Editorial. Briefings Bioinform. 22(2): 613-615 (2021) - [j64]Marzia Settino, Mario Cannataro:
MMRFBiolinks: an R-package for integrating and analyzing MMRF-CoMMpass data. Briefings Bioinform. 22(5) (2021) - [j63]Giuseppe Agapito, Mario Cannataro:
Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data. BMC Bioinform. 22-S(13): 376 (2021) - [j62]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) - [j61]Marzia Settino, Mariamena Arbitrio, Francesca Scionti, Daniele Caracciolo, Giuseppe Agapito, Pierfrancesco Tassone, Pierosandro Tagliaferri, Maria Teresa Di Martino, Mario Cannataro:
Identifying prognostic markers for multiple myeloma through integration and analysis of MMRF-CoMMpass data. J. Comput. Sci. 51: 101346 (2021) - [j60]Marianna Milano, Chiara Zucco, Mario Cannataro:
COVID-19 Community Temporal Visualizer: a new methodology for the network-based analysis and visualization of COVID-19 data. Netw. Model. Anal. Health Informatics Bioinform. 10(1): 46 (2021) - [c166]Rossana Mancuso, Marzia Settino, Mario Cannataro:
Data mining for electroencephalogram signal processing and analysis. BCB 2021: 81:1-81:10 - [c165]Ileana Scarpino, Chiara Zucco, Mario Cannataro:
Characterization of Long COVID using text mining on narrative medicine texts. BIBM 2021: 2022-2027 - [c164]Ileana Scarpino, Chiara Zucco, Mario Cannataro:
A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts. ICCS (2) 2021: 587-593 - [c163]Giuseppe Agapito, Mario Cannataro:
snpStorage: a database to store and share experimental SNPs data sets. SEBD 2021: 48-58 - [c162]Marianna Milano, Mario Cannataro:
A novel network-based methodology for analysis of COVID-19 data. SEBD 2021: 168-175 - [c161]Chiara Zucco, Barbara Calabrese, Miriam Sturniolo, Antonio Gambardella, Mario Cannataro:
A software pipeline for pre-processing and mining EEG signals: application in neurology (Discussion Paper). SEBD 2021: 307-314 - [c160]Chiara Zucco, Clarissa Paglia, Sonia Graziano, Sergio Bella, Mario Cannataro:
Sentiment Analysis of medical questionnaires to improve adherence to telemonitoring programs (Discussion Paper). SEBD 2021: 323-330 - 2020
- [j59]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) - [j58]Chiara Zucco, Clarissa Paglia, Sonia Graziano, Sergio Bella, Mario Cannataro:
Sentiment Analysis and Text Mining of Questionnaires to Support Telemonitoring Programs. Inf. 11(12): 550 (2020) - [j57]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) - [j56]Giuseppe Varone, Sara Gasparini, Edoardo Ferlazzo, Michele Ascoli, Giovanbattista Gaspare Tripodi, Chiara Zucco, Barbara Calabrese, Mario Cannataro, Umberto Aguglia:
A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects. Sensors 20(4): 1235 (2020) - [j55]Giuseppe Agapito, Mario Cannataro:
cPEA: a parallel method to perform pathway enrichment analysis using multiple pathways databases. Soft Comput. 24(23): 17561-17572 (2020) - [j54]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) - [c159]Giuseppe Agapito, Mario Cannataro:
Using BioPAX-Parser (BiP) to Annotate Lists of Biological Entities with Pathway Data. ER (Workshops) 2020: 92-101 - [c158]Giuseppe Agapito, Marianna Milano, Mario Cannataro:
A New Parallel Methodology for the Network Analysis of COVID-19 Data. Euro-Par Workshops 2020: 333-343 - [c157]Marzia Settino, Mariamena Arbitrio, Francesca Scionti, Daniele Caracciolo, Maria Teresa Di Martino, Pierosandro Tagliaferri, Pierfrancesco Tassone, Mario Cannataro:
MMRF-CoMMpass Data Integration and Analysis for Identifying Prognostic Markers. ICCS (3) 2020: 564-571 - [c156]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
An efficient and scalable SPARK preprocessing methodology for Genome Wide Association Studies. PDP 2020: 369-375
2010 – 2019
- 2019
- [j53]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Parallel extraction of association rules from genomics data. Appl. Math. Comput. 350: 434-446 (2019) - [j52]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Using multiple network alignment for studying connectomes. Netw. Model. Anal. Health Informatics Bioinform. 8(1): 5 (2019) - [j51]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) - [j50]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) - [c155]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 - [c154]Giuseppe Agapito, Wes Lloyd, Mario Cannataro:
ParBio'19 - 8th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine. BCB 2019: 652 - [c153]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Towards Local Alignment of Multiple Networks: Multi-GLAlign. BCB 2019: 658-662 - [c152]Rodrigo Crespo-Cepeda, Giuseppe Agapito, José Luis Vázquez-Poletti, Mario Cannataro:
Challenges and Opportunities of Amazon Serverless Lambda Services in Bioinformatics. BCB 2019: 663-668 - [c151]Marzia Settino, Anna Bernasconi, Gaia Ceddia, Giuseppe Agapito, Marco Masseroli, Mario Cannataro:
Using GMQL-Web for Querying, Downloading and Integrating Public with Private Genomic Datasets. BCB 2019: 688-693 - [c150]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 - [c149]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Mining Association Rules From Disease Ontology. BIBM 2019: 2239-2243 - [c148]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Pathway Analysis for SNP microarray data. BIBM 2019: 2244-2250 - [c147]Chiara Zucco, Barbara Calabrese, Mario Cannataro:
Emotion Mining: from Unimodal to Multimodal Approaches. BrainComp 2019: 143-158 - [c146]Giuseppe Agapito, Mario Cannataro, Pietro H. Guzzi, Marianna Milano:
Learning Weighted Association Rules in Human Phenotype Ontology. CIBB 2019: 245-256 - [c145]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 - [c144]Giuseppe Agapito, Mario Cannataro:
A Parallel Software Platform for Pathway Enrichment. NUMTA(1) 2019: 215-222 - [r5]Mario Cannataro:
Big Data Analysis in Bioinformatics. Encyclopedia of Big Data Technologies 2019 - [r4]Mario Cannataro, Giuseppe Agapito:
Computing for Bioinformatics. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 160-175 - 2018
- [j49]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) - [j48]Giuseppe Agapito, Mario Cannataro, Mauro Castelli, Riccardo Dondi, Italo Zoppis:
Editorial of the Special Issue of the 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC 2017. Comput. 7(1): 17 (2018) - [j47]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) - [c143]Giuseppe Agapito, Mario Cannataro:
Services4SNPs: A RESTful Platform for Association Rule Mining and Survival Analysis of Genotyping Data. BCB 2018: 517 - [c142]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 - [c141]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
HetNetAligner: A Novel Algorithm for Local Alignment of Heterogeneous Biological Networks. BCB 2018: 598-599 - [c140]Valentina Falvo, Mariagrazia Scalise, Francesco Lupia, Pierfrancesco Casella, Mario Cannataro:
A Cooperative Vehicle Routing Platform for Logistic Management in Healthcare. BCB 2018: 689-692 - [c139]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 - [c138]Marzia Settino, Mario Cannataro:
Survey of main tools for querying and analyzing TCGA Data. BIBM 2018: 1711-1718 - [c137]Chiara Zucco, Sergio Bella, Clarissa Paglia, Paola Tabarini, Mario Cannataro:
Predicting Abandonment in Telehomecare Programs Using Sentiment Analysis: A System Proposal. BIBM 2018: 1734-1739 - [c136]Chiara Zucco, Huizhi Liang, Giuseppe Di Fatta, Mario Cannataro:
Explainable Sentiment Analysis with Applications in Medicine. BIBM 2018: 1740-1747 - [c135]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 - [c134]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 - [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
- [j46]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) - [c133]Mario Cannataro, John A. Springer:
ParBio'17: 6th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine. BCB 2017: 722 - [c132]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Using GenotypeAnalytics to Analyze Pharmacogenomic Datasets. BCB 2017: 740-743 - [c131]Giuseppe Agapito, Mario Cannataro:
A software pipeline for multiple microarray data analysis. BIBM 2017: 1941-1944 - [c130]Chiara Zucco, Barbara Calabrese, Mario Cannataro:
Sentiment analysis and affective computing for depression monitoring. BIBM 2017: 1988-1995 - [c129]Pietro Hiram Guzzi, Mario Cannataro, Pierangelo Veltri:
Using Graphs to Relate Patient's Clinical and Geographical Data. FNC/MobiSPC 2017: 448-452 - [c128]Giuseppe Agapito, Mario Cannataro, Mauro Castelli, Riccardo Dondi, Italo Zoppis:
10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017. ICCS 2017: 1113-1114 - [c127]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Using Multi Network Alignment for Analysis of Connectomes. ICCS 2017: 1155-1164 - [c126]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
High Performance Analysis of Omics Data: Experiences at University Magna Graecia of Catanzaro. HPCS 2017: 929-932 - [c125]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 - [c124]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Learning Association Rules for Pharmacogenomic Studies. NFMCP@PKDD/ECML 2017: 1-15 - [c123]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 - [c122]Pietro Cinaglia, Pierangelo Veltri, Mario Cannataro:
eMiRo: an ontology-based system for clinical data integration and analysis. SEBD 2017: 310 - [c121]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
- [j45]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) - [j44]