MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations

MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations

Abstract Background MicroRNAs (miRNAs) are non-coding RNAs with regulatory functions. Many studies have shown that miRNAs are closely associated with human diseases. Among the methods to explore the relationship between the miRNA and the disease, traditional methods are time-consuming and the accura...

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Bibliographic Details
Main Authors: Tian-Ru Wu, Meng-Meng Yin, Cui-Na Jiao, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Bioinformatics
Subjects:
MiRNA-disease association prediction
Matrix completion
Weight K Nearest Known Neighbors
Matrix factorization
Online Access:http://link.springer.com/article/10.1186/s12859-020-03799-6

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http://link.springer.com/article/10.1186/s12859-020-03799-6

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