2 citations · 2 across the 6 of their papers we have counts for
6 papers
MuLaN: a MultiLayer Networks Alignment Algorithm
Marianna Milano, Pietro Cinaglia, Pietro Hiram Guzzi +1
A Multilayer Network (MN) is a system consisting of several topological levels (i.e., layers) representing the interactions between the system's objects and the related interdepend…
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…
Learning Weighted Association Rules in Human Phenotype Ontology
Pietro Hiram Guzzi, Giuseppe Agapito, Marianna Milano +1
The Human Phenotype Ontology (HPO) is a structured repository of concepts (HPO Terms) that are associated to one or more diseases. The process of association is referred to as anno…
The impact of Gene Ontology evolution on GO-Term Information Content
Pietro Hiram Guzzi, Giuseppe Agapito, Marianna Milano +1
The Gene Ontology (GO) is a major bioinformatics ontology that provides structured controlled vocabularies to classify gene and proteins function and role. The GO and its annotatio…
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…