The post-genomic era of biological network alignment
Biological network alignment aims to find regions of topological and functional (dis)
similarities between molecular networks of different species. Then, network alignment can …
similarities between molecular networks of different species. Then, network alignment can …
Gene ontology semantic similarity tools: survey on features and challenges for biological knowledge discovery
GK Mazandu, ER Chimusa… - Briefings in bioinformatics, 2017 - academic.oup.com
Gene Ontology (GO) semantic similarity tools enable retrieval of semantic similarity scores,
which incorporate biological knowledge embedded in the GO structure for comparing or …
which incorporate biological knowledge embedded in the GO structure for comparing or …
An approach for measuring semantic similarity between Wikipedia concepts using multiple inheritances
MJ Hussain, SH Wasti, G Huang, L Wei, Y Jiang… - Information Processing …, 2020 - Elsevier
Wikipedia provides a huge collaboratively made semi-structured taxonomy called Wikipedia
category graph (WCG), which can be utilized as a Knowledge Graph (KG) to measure the …
category graph (WCG), which can be utilized as a Knowledge Graph (KG) to measure the …
Anc2vec: embedding gene ontology terms by preserving ancestors relationships
The gene ontology (GO) provides a hierarchical structure with a controlled vocabulary
composed of terms describing functions and localization of gene products. Recent works …
composed of terms describing functions and localization of gene products. Recent works …
GO2Vec: transforming GO terms and proteins to vector representations via graph embeddings
X Zhong, R Kaalia, JC Rajapakse - BMC genomics, 2019 - Springer
Abstract Background Semantic similarity between Gene Ontology (GO) terms is a
fundamental measure for many bioinformatics applications, such as determining functional …
fundamental measure for many bioinformatics applications, such as determining functional …
Assessment of GO-based protein interaction affinities in the large-scale human–coronavirus family interactome
SARS-CoV-2 is a novel coronavirus that replicates itself via interacting with the host
proteins. As a result, identifying virus and host protein-protein interactions could help …
proteins. As a result, identifying virus and host protein-protein interactions could help …
TopoICSim: a new semantic similarity measure based on gene ontology
R Ehsani, F Drabløs - BMC bioinformatics, 2016 - Springer
Abstract Background The Gene Ontology (GO) is a dynamic, controlled vocabulary that
describes the cellular function of genes and proteins according to tree major categories …
describes the cellular function of genes and proteins according to tree major categories …
FunSet: an open-source software and web server for performing and displaying Gene Ontology enrichment analysis
Abstract Background Gene Ontology enrichment analysis provides an effective way to
extract meaningful information from complex biological datasets. By identifying terms that …
extract meaningful information from complex biological datasets. By identifying terms that …
A review of semantic similarity measures in biomedical domain using SNOMED-CT
The determination of semantic similarity between word pairs is an important task in text
understanding that supports the processing, classification and structuring of textual …
understanding that supports the processing, classification and structuring of textual …
GOntoSim: a semantic similarity measure based on LCA and common descendants
Abstract The Gene Ontology (GO) is a controlled vocabulary that captures the semantics or
context of an entity based on its functional role. Biomedical entities are frequently compared …
context of an entity based on its functional role. Biomedical entities are frequently compared …