Paper Info
Title
Inferring LncRNA-disease associations based on graph autoencoder matrix completion.
Abstract
Accumulating studies have indicated that long non-coding RNAs (lncRNAs) play crucial roles in large amount of biological processes. Predicting lncRNA-disease associations can help biologist to understand the molecular mechanism of human disease and benefit for disease diagnosis, treatment and prevention.
Year
DOI
Venue
2020
10.1016/j.compbiolchem.2020.107282
Computational Biology and Chemistry
Keywords
DocType
Volume
LncRNA-disease association,Matrix completion,Graph convolutional network,Inner product
Journal
87
ISSN
Citations 
PageRank 
1476-9271
2
0.37
References 
Authors
0
6
Name
Order
Citations
PageRank
Ximin Wu120.71
Wei Lan2468.42
Qingfeng Chen3256.74
Yi Dong420.37
Jin Liu551.03
Wei Peng649143.27