6 citations · 8 across the 7 of their papers we have counts for
7 papers
A novel Network Science Algorithm for Improving Triage of Patients
Pietro Hiram Guzzi, Annamaria De Filippo, Pierangelo Veltri
Patient triage plays a crucial role in healthcare, ensuring timely and appropriate care based on the urgency of patient conditions. Traditional triage methods heavily rely on human…
Design and Development of PCN-Miner: A tool for the Analysis of Protein Contact Networks
Pietro Hiram Guzzi, Luisa Di Paola, Alessandro Giuliani +1
Protein Contact Network (PCN) is a powerful tool for analysing the structure and function of proteins. In particular, PCN has been used for disclosing the molecular features of all…
Using Dual-Network Analyser for extracting communities from Dual Networks
Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri
The representation of data and its relationships using networks is prevalent in many research fields such as computational biology, medical informatics and social networks. Recentl…
Extracting Dense and Connected Subgraphs in Dual Networks by Network Alignment
Pietro Hiram Guzzi, Emanuel Salerno, Giuseppe Tradigo +1
The use of network based approaches to model and analyse large datasets is currently a growing research field. For instance in biology and medicine, networks are used to model inte…
HetNetAligner: Design and Implementation of an algorithm for heterogeneous network alignment on Apache Spark
Pietro H Guzzi, Marianna Milano, Pierangelo Veltri +1
The importance of the use of networks to model and analyse biological data and the interplay of bio-molecules is widely recognised. Consequently, many algorithms for the analysis a…
A web-based tool to Analyze Semantic Similarity Networks
Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano +1
In computational biology, biological entities such as genes or proteins are usually annotated with terms extracted from Gene Ontology (GO). The functional similarity among terms of…
Thresholding of Semantic Similarity Networks using a Spectral Graph Based Technique
Pietro Hiram Guzzi, Simone Truglia, Pierangelo Veltri +1
Semantic similarity measures (SSMs) refer to a set of algorithms used to quantify the similarity of two or more terms belonging to the same ontology. Ontology terms may be associat…