Disease gene classification with metagraph representations

• Main Authors: KIRCALI ATA, Sezin, FANG, Yuan, WU, Min, LI, Xiao-Li, XIAO, Xiaokui
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Disease protein prediction; Metagraph; Protein representations; Protein-protein interaction; Uniprot keywords; Databases and Information Systems; Medicine and Health Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/4230; https://ink.library.smu.edu.sg/context/sis_research/article/5233/viewcontent/Disease_gene_manuscript.pdf
• Institution: Singapore Management University

This chapter is based on exploiting the network-based representations of proteins, metagraphs, in protein-protein interaction network to identify candidate disease-causing proteins. Protein-protein interaction (PPI) networks are effective tools in studying the functional roles of proteins in the dev...