Marianna Milano

发表

Application of Multi Network Alignment Algorithms for Connectomes Study

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2017 .

Computing Languages for Bioinformatics: R

Marianna Milano, Marianna Milano, 2019, Encyclopedia of Bioinformatics and Computational Biology.

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.

Towards Local Alignment of Multiple Networks: Multi-GLAlign

Mario Cannataro, Marianna Milano, Pietro Hiram Guzzi, 2019, BCB.

GLAlign: Using global graph alignment to improve local graph alignment

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Alignment algorithms for biological and biomedical networks comparison

Marianna Milano, Marianna Milano, 2020, SIGBIO.

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2013 .

Efficient learning of association rules from human phenotype ontology

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2015, BCB.

Modularity and community detection in Semantic Similarity Networks trough Spectral Based Transformation and Markov Clustering

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2013, BCB.

Parallel Learning of Weighted Association Rules in Human Phenotype Ontology

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

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

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

GLAlign: A Novel Algorithm for Local Network Alignment

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Improving annotation quality in gene ontology by mining cross-ontology weighted association rules

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An experimental study of information content measurement of gene ontology terms

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

HetNetAligner: Design and Implementation of an algorithm for heterogeneous network alignment on Apache Spark pdf

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2018, ArXiv.

GoD: An R-package based on ontologies for prioritization of genes with respect to diseases

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2015, J. Comput. Sci..

Using semantic similarity to detect features in yeast protein complexes

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Using Network Alignment for Analysis of Connectomes: Experiences from a Clinical Dataset

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2016, BCB.

Using SSN-Analyzer for analysis of semantic similarity networks

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2015, Network Modeling Analysis in Health Informatics and Bioinformatics.

Towards the assessment of GRN algorithms based on (disease) ontology

Pietro Hiram Guzzi, Marianna Milano, Swarup Roy, 2015, BCB.

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..

SL-GLAlign: improving local alignment of biological networks through simulated annealing

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2020, Network Modeling Analysis in Health Informatics and Bioinformatics.

Ontology-Based Analysis of Microarray Data.

Marianna Milano, Agapito Giuseppe, Marianna Milano, 2016, Methods in molecular biology.

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

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

SL-GLAlign: Improving the Local Alignment of Biological Networks through Simulated Annealing

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2018, BCB.

Mining Association Rules from Gene Ontology and Protein Networks: Promises and Challenges

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2014, ICCS.

Using multiple network alignment for studying connectomes

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2019, Network Modeling Analysis in Health Informatics and Bioinformatics.

Mining Association Rules From Disease Ontology

Mario Cannataro, Giuseppe Agapito, Marianna Milano, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An extensive assessment of network alignment algorithms for comparison of brain connectomes

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2017, BMC Bioinformatics.

Learning Weighted Association Rules in Human Phenotype Ontology

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

Using Multi Network Alignment for Analysis of Connectomes

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2017, ICCS.

GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2014, CIBB.

L-HetNetAligner: A novel algorithm for Local Alignment of Heterogeneous Biological Networks

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2020, Scientific Reports.

A web-based tool to analyze semantic similarity networks

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2014, BCB.

Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2014, 2014 International Conference on High Performance Computing & Simulation (HPCS).

Towards Heterogeneous Network Alignment: Design and Implementation of a Large-Scale Data Processing Framework

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2018, Euro-Par Workshops.

Biases in information content measurement of gene ontology terms

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

HetNetAligner: A Novel Algorithm for Local Alignment of Heterogeneous Biological Networks

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2018, BCB.

Tools for Semantic Analysis Based on Semantic Similarity

Marianna Milano, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Network building and analysis in connectomics studies: a review of algorithms, databases and technologies

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2019, Network Modeling Analysis in Health Informatics and Bioinformatics.

Using ontologies and semantic similarity measures for prioritization of gene regulatory networks

Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, 2016 .

COVID-19 Community Temporal Visualizer: a new methodology for the network-based analysis and visualization of COVID-19 data

Mario Cannataro, Chiara Zucco, Marianna Milano, 2021, Network Modeling Analysis in Health Informatics and Bioinformatics.

A novel network-based methodology for analysis of COVID-19 data

Mario Cannataro, Marianna Milano, 2021, SEBD.

CCTV: a new network-based methodology for the analysis and visualization of COVID-19 data

Marianna Milano, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).