IMS-CDA: Prediction of CircRNA-Disease Associations From the Integration of Multisource Similarity Information With Deep Stacked Autoencoder Model

Emerging evidence indicates that circular RNA (circRNA) has been an indispensable role in the pathogenesis of human complex diseases and many critical biological processes. Using circRNA as a molecular marker or therapeutic target opens up a new avenue for our treatment and detection of human comple...

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Bibliographic Details
Published in:IEEE transactions on cybernetics Vol. 51; no. 11; pp. 5522 - 5531
Main Authors: Wang, Lei, You, Zhu-Hong, Li, Jian-Qiang, Huang, Yu-An
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.11.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Biological activity
Biological networks
circRNA-disease association
circular RNA (circRNA)
complex diseases
Disease
Diseases
Feature extraction
Kernel
Machine learning
Mathematical models
Pathogenesis
RNA
Semantics
Similarity
Support vector machines
ISSN:2168-2267, 2168-2275, 2168-2275
Online Access:Get full text
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