BHCMDA: A New Biased Heat Conduction Based Method for Potential MiRNA-Disease Association Prediction

BHCMDA: A New Biased Heat Conduction Based Method for Potential MiRNA-Disease Association Prediction

Recent studies have indicated that microRNAs (miRNAs) are closely related to sundry human sophisticated diseases. According to the surmise that functionally similar miRNAs are more likely associated with phenotypically similar diseases, researchers have proposed a variety of valid computational mode...

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Bibliographic Details
Main Authors: Xianyou Zhu, Xuzai Wang, Haochen Zhao, Tingrui Pei, Linai Kuang, Lei Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Genetics
Subjects:
miRNA-disease association
bipartite graph network
biased heat conduction
clustering algorithm
integrated similarity
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00384/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2020.00384/full

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