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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| 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 |