GO2Vec: transforming GO terms and proteins to vector representations via graph embeddings

BACKGROUND: Semantic similarity between Gene Ontology (GO) terms is a fundamental measure for many bioinformatics applications, such as determining functional similarity between genes or proteins. Most previous research exploited information content to estimate the semantic similarity between GO ter...

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Detalles Bibliográficos
Autores principales: Zhong, Xiaoshi, Kaalia, Rama, Rajapakse, Jagath C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424702/
https://www.ncbi.nlm.nih.gov/pubmed/31874639
http://dx.doi.org/10.1186/s12864-019-6272-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424702/
https://www.ncbi.nlm.nih.gov/pubmed/31874639
http://dx.doi.org/10.1186/s12864-019-6272-2

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