Original paper

LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities

Volume: 15, Issue: 3, Pages: e1006865 - e1006865
Published: Mar 27, 2019
Abstract
Emerging evidence has shown microRNAs (miRNAs) play an important role in human disease research. Identifying potential association among them is significant for the development of pathology, diagnose and therapy. However, only a tiny portion of all miRNA-disease pairs in the current datasets are experimentally validated. This prompts the development of high-precision computational methods to predict real interaction pairs. In this paper, we...
Paper Details
Title
LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
Published Date
Mar 27, 2019
Volume
15
Issue
3
Pages
e1006865 - e1006865
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