BPLLDA: Predicting lncRNA-Disease Associations Based on Simple Paths With Limited Lengths in a Heterogeneous Network

BPLLDA: Predicting lncRNA-Disease Associations Based on Simple Paths With Limited Lengths in a Heterogeneous Network

In recent years, it has been increasingly clear that long noncoding RNAs (lncRNAs) play critical roles in many biological processes associated with human diseases. Inferring potential lncRNA-disease associations is essential to reveal the secrets behind diseases, develop novel drugs, and optimize pe...

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Bibliographic Details
Main Authors: Xiaofang Xiao, Wen Zhu, Bo Liao, Junlin Xu, Changlong Gu, Binbin Ji, Yuhua Yao, Lihong Peng, Jialiang Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-10-01
Series:Frontiers in Genetics
Subjects:
disease similarity
lncRNA similarity
path with limited length
Gaussian interaction profile kernel similarity
leave-one-out cross validation
ROC curve
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2018.00411/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2018.00411/full

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