Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks
Identification of disease-associated miRNAs (disease miRNAs) are critical for understanding etiology and pathogenesis. Most previous methods focus on integrating similarities and associating information contained in heterogeneous miRNA-disease networks. However, these methods establish only shallow...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
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Series: | International Journal of Molecular Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/1422-0067/20/15/3648 |