GO2Vec: transforming GO terms and proteins to vector representations via graph embeddings
Sign Up to like & getrecommendations! Published in 2019 at "BMC Genomics"
DOI: 10.1186/s12864-019-6272-2
Abstract: 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… read more here.
Keywords: terms proteins; information; similarity; vector representations ... See more keywords
Taxonomy Enrichment with Text and Graph Vector Representations
Sign Up to like & getrecommendations! Published in 2022 at "Semantic Web"
DOI: 10.3233/sw-212955
Abstract: Knowledge graphs such as DBpedia, Freebase or Wikidata always contain a taxonomic backbone that allows the arrangement and structuring of various concepts in accordance with hypo-hypernym (“class-subclass”) relationship. With the rapid growth of lexical resources… read more here.
Keywords: enrichment text; vector representations; taxonomy enrichment; graph vector ... See more keywords