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Pietro Cinaglia

Showing results (1-10 of 20) with videos related to

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BMC Bioinformatics|June 13, 2024
PyMulSim: a method for computing node similarities between multilayer networks via graph isomorphism networksPietro Cinaglia
Entropy (Basel, Switzerland)|July 27, 2022
Forecasting COVID-19 Epidemic Trends by Combining a Neural Network with <i>R</i> EstimationPietro Cinaglia, Mario Cannataro
Entropy (Basel, Switzerland)|May 16, 2023
A Method Based on Temporal Embedding for the Pairwise Alignment of Dynamic NetworksPietro Cinaglia, Mario Cannataro
Bioinformatics Advances|November 24, 2025
CoRTE: a web-service for constructing temporal networks from genotype-tissue expression dataPietro Cinaglia, Mario Cannataro
Entropy (Basel, Switzerland)|June 28, 2023
Identifying Candidate Gene-Disease Associations via Graph Neural NetworksPietro Cinaglia, Mario Cannataro
BMC Bioinformatics|November 6, 2023
Multilayer network alignment based on topological assessment via embeddingsPietro Cinaglia, Marianna Milano, Mario Cannataro
Interdisciplinary Sciences, Computational Life Sciences|July 31, 2015
Design and Implementation of a Telecardiology System for Mobile DevicesPietro Cinaglia, Giuseppe Tradigo, Pietro H Guzzi, et al.
Plos Computational Biology|September 4, 2025
Ten practical tips and tricks to improve the effectiveness of biological network alignmentGiuseppe Agapito, Mario Cannataro, Pietro Cinaglia, et al.
Reviews on Recent Clinical Trials|April 9, 2020
Epidemiology of Coronavirus Disease Outbreak: The Italian TrendsLudovico Abenavoli, Pietro Cinaglia, Francesco Luzza, et al.
Computers in Biology and Medicine|July 16, 2025
A computational approach to study age-related modifications of the genes involved in Parkinson's diseaseMarianna Milano, Pietro Cinaglia, Pietro Hiram Guzzi, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|June 13, 2024
PyMulSim: a method for computing node similarities between multilayer networks via graph isomorphism networksPietro Cinaglia
Entropy (Basel, Switzerland)|July 27, 2022
Forecasting COVID-19 Epidemic Trends by Combining a Neural Network with <i>R</i> EstimationPietro Cinaglia, Mario Cannataro
Entropy (Basel, Switzerland)|May 16, 2023
A Method Based on Temporal Embedding for the Pairwise Alignment of Dynamic NetworksPietro Cinaglia, Mario Cannataro
Bioinformatics Advances|November 24, 2025
CoRTE: a web-service for constructing temporal networks from genotype-tissue expression dataPietro Cinaglia, Mario Cannataro
Entropy (Basel, Switzerland)|June 28, 2023
Identifying Candidate Gene-Disease Associations via Graph Neural NetworksPietro Cinaglia, Mario Cannataro
BMC Bioinformatics|November 6, 2023
Multilayer network alignment based on topological assessment via embeddingsPietro Cinaglia, Marianna Milano, Mario Cannataro
Interdisciplinary Sciences, Computational Life Sciences|July 31, 2015
Design and Implementation of a Telecardiology System for Mobile DevicesPietro Cinaglia, Giuseppe Tradigo, Pietro H Guzzi, et al.
Plos Computational Biology|September 4, 2025
Ten practical tips and tricks to improve the effectiveness of biological network alignmentGiuseppe Agapito, Mario Cannataro, Pietro Cinaglia, et al.
Reviews on Recent Clinical Trials|April 9, 2020
Epidemiology of Coronavirus Disease Outbreak: The Italian TrendsLudovico Abenavoli, Pietro Cinaglia, Francesco Luzza, et al.
Computers in Biology and Medicine|July 16, 2025
A computational approach to study age-related modifications of the genes involved in Parkinson's diseaseMarianna Milano, Pietro Cinaglia, Pietro Hiram Guzzi, et al.
Pageof 2