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

• Main Authors: Zhong, Xiaoshi, Kaalia, Rama, Rajapakse, Jagath Chandana
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2021
• 主題: Science::Biological sciences; Graph Embeddings; Vector Representations
• 在線閱讀: https://hdl.handle.net/10356/145882
• 機構: 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...