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

• المؤلفون الرئيسيون: Zhong, Xiaoshi, Kaalia, Rama, Rajapakse, Jagath Chandana
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Science::Biological sciences; Graph Embeddings; Vector Representations
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/145882

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...