Identifying Potential miRNA-Disease Associations Based on an Improved Manifold Learning Framework

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...

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Bibliographic Details
Main Authors: Yong Tang, Gaoming Li, Yazhou Wu, Dong Yi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
miRNA-disease association
non-negative matrix factorization
Hessian regularization
discriminability
manifold learning
Online Access:https://ieeexplore.ieee.org/document/8985320/

Internet

https://ieeexplore.ieee.org/document/8985320/

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