Predicting the Disease Genes of Multiple Sclerosis Based on Network Representation Learning

Predicting the Disease Genes of Multiple Sclerosis Based on Network Representation Learning

Multiple sclerosis (MS) is an autoimmune disease for which it is difficult to find exact disease-related genes. Effectively identifying disease-related genes would contribute to improving the treatment and diagnosis of multiple sclerosis. Current methods for identifying disease-related genes mainly...

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Bibliographic Details
Main Authors: Haijie Liu, Jiaojiao Guan, He Li, Zhijie Bao, Qingmei Wang, Xun Luo, Hansheng Xue
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Genetics
Subjects:
multiple sclerosis
network embedding
disease gene prediction
PPI network
deep learning
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00328/full

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