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
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Disease gene prediction; Node embeddings; Feature learning; Oversampling; Protein-protein interaction; Databases and Information Systems; Systems Biology
• Online Access: https://ink.library.smu.edu.sg/sis_research/4281; https://ink.library.smu.edu.sg/context/sis_research/article/5284/viewcontent/s12918_018_0662_y.pdf
• Institution: Singapore Management University

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