Integrating node embeddings and biological annotations for genes to predict disease-gene associations

• Main Authors: Ata, Sezin Kircali, Ou-Yang, Le, Fang, Yuan, Kwoh, Chee-Keong, Wu, Min, Li, Xiao-Li
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Computer science and engineering; Disease Gene Prediction; Node Embeddings
• Online Access: https://hdl.handle.net/10356/105988; http://hdl.handle.net/10220/48817; http://dx.doi.org/10.1186/s12918-018-0662-y
• Institution: Nanyang Technological University

Background : Predicting disease causative genes (or simply, disease genes) has played critical roles in understanding the genetic basis of human diseases and further providing disease treatment guidelines. While various computational methods have been proposed for disease gene prediction, with the r...