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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Detaylı Bibliyografya
Asıl Yazarlar: Zhong, Xiaoshi, Kaalia, Rama, Rajapakse, Jagath Chandana
Diğer Yazarlar: School of Computer Science and Engineering
Materyal Türü: Journal Article
Dil:English
Baskı/Yayın Bilgisi: 2021
Konular:
Online Erişim:https://hdl.handle.net/10356/145882