Identifying Potential miRNA-Disease Associations Based on an Improved Manifold Learning Framework
Adequate evidence has shown that miRNA-disease interactions are strongly involved in the pathological processes of complex human diseases. However, it is commonly time-consuming and labor-intensive to utilize laboratory biological experiments to reveal unknown miRNA-disease pairs. Since the previous...
Main Authors: | Yong Tang, Gaoming Li, Yazhou Wu, Dong Yi |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8985320/ |
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