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Marianna Milano
Marianna Milano
Verified email at unicz.it
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Cited by
Cited by
Year
Human common carotid wall shear stress as a function of age and gender: a 12-year follow-up study
C Irace, C Carallo, MS De Franceschi, F Scicchitano, M Milano, ...
Age 34, 1553-1562, 2012
632012
Extracting cross-ontology weighted association rules from gene ontology annotations
G Agapito, M Milano, PH Guzzi, M Cannataro
IEEE/ACM transactions on computational biology and bioinformatics 13 (2 …, 2015
452015
An extensive assessment of network alignment algorithms for comparison of brain connectomes
M Milano, PH Guzzi, O Tymofieva, D Xu, C Hess, P Veltri, M Cannataro
BMC bioinformatics 18, 31-45, 2017
382017
Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study
BWL Tan, BWQ Tan, ALM Tan, ER Schriver, A Gutiérrez-Sacristán, P Das, ...
EClinicalMedicine 55, 2023
362023
Mining Association Rules from Gene Ontology and Protein Networks: Promises and Challenges.
PH Guzzi, M Milano, M Cannataro
Procedia Computer Science 29, 1970-1980, 2014
302014
International analysis of electronic health records of children and youth hospitalized with COVID-19 infection in 6 countries
FT Bourgeois, A Gutiérrez-Sacristán, MS Keller, M Liu, C Hong, ...
JAMA network open 4 (6), e2112596-e2112596, 2021
292021
HetNetAligner: a novel algorithm for local alignment of heterogeneous biological networks
M Milano, PH Guzzi, M Cannataro
Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018
252018
Glalign: A novel algorithm for local network alignment
M Milano, PH Guzzi, M Cannataro
IEEE/ACM transactions on computational biology and bioinformatics 16 (6 …, 2018
232018
Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine
PH Guzzi, G Agapito, M Milano, M Cannataro
Briefings in bioinformatics 17 (4), 553-561, 2016
232016
Using GO-WAR for mining cross-ontology weighted association rules
G Agapito, M Cannataro, PH Guzzi, M Milano
Computer methods and programs in biomedicine 120 (2), 113-122, 2015
212015
Statistical and network-based analysis of Italian COVID-19 data: communities detection and temporal evolution
M Milano, M Cannataro
International journal of environmental research and public health 17 (12), 4182, 2020
192020
Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents
G Agapito, B Calabrese, I Care, D Falcone, PH Guzzi, N Ielpo, ...
2014 International Conference on High Performance Computing & Simulation …, 2014
192014
International comparisons of harmonized laboratory value trajectories to predict severe covid-19: Leveraging the 4ce collaborative across 342 hospitals and 6 countries: A …
GM Weber, C Hong, NP Palmer, P Avillach, SN Murphy, ...
medRxiv, 2021
172021
GoD: An R-package based on ontologies for prioritization of genes with respect to diseases
M Cannataro, PH Guzzi, M Milano
Journal of Computational Science 9, 7-13, 2015
152015
Challenges and limitations of biological network analysis
M Milano, G Agapito, M Cannataro
BioTech 11 (3), 24, 2022
122022
Improving annotation quality in gene ontology by mining cross-ontology weighted association rules
G Agapito, M Milano, PH Guzzi, M Cannataro
2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1-8, 2014
112014
Hospitalizations associated with mental health conditions among adolescents in the US and France during the COVID-19 pandemic
A Gutiérrez-Sacristán, A Serret-Larmande, MR Hutch, C Sáez, BJ Aronow, ...
JAMA Network Open 5 (12), e2246548-e2246548, 2022
92022
COVID-19 Community Temporal Visualizer: A new methodology for the network-based analysis and visualization of COVID-19 data
M Milano, C Zucco, M Cannataro
Network Modeling Analysis in Health Informatics and Bioinformatics 10, 1-38, 2021
92021
An experimental study of information content measurement of gene ontology terms
M Milano, G Agapito, PH Guzzi, M Cannataro
International Journal of Machine Learning and Cybernetics 9, 427-439, 2018
92018
A python clustering analysis protocol of genes expression data sets
G Agapito, M Milano, M Cannataro
Genes 13 (10), 1839, 2022
72022
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