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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-12-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-019-3260-0 |