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

• Main Authors: Zhong, Xiaoshi, Kaalia, Rama, Rajapakse, Jagath Chandana
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Science::Biological sciences; Graph Embeddings; Vector Representations
• Online Access: https://hdl.handle.net/10356/145882
• Institution: Nanyang Technological University

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...