RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations

RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations

Abstract Background Predicting miRNA-disease associations (MDAs) is time-consuming and expensive. It is imminent to improve the accuracy of prediction results. So it is crucial to develop a novel computing technology to predict new MDAs. Although some existing methods can effectively predict novel M...

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Bibliographic Details
Main Authors: Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Bioinformatics
Subjects:
MiRNA-disease association prediction
L2,1-norm
Collaborative regularization
Matrix factorization
Online Access:https://doi.org/10.1186/s12859-019-3260-0

Internet

https://doi.org/10.1186/s12859-019-3260-0

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