Inferring Potential CircRNA–Disease Associations via Deep Autoencoder-Based Classification

Aim Circular RNAs (circRNA) are endogenous non-coding RNA molecules with a stable circular conformation. Growing evidence from recent experiments reveals that dysregulations and abnormal expressions of circRNAs are correlated with complex diseases. Therefore, identifying the causal circRNAs behind d...

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Bibliographic Details
Published in:	Molecular diagnosis & therapy Vol. 25; no. 1; pp. 87 - 97
Main Authors:	Deepthi, K., Jereesh, A. S.
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.01.2021 Springer Nature B.V
Subjects:	Algorithms Biomedical and Life Sciences Biomedicine Cancer Research Case studies Classifiers Computer applications Conformation Disease Diseases Experiments Feature extraction Gene expression Human Genetics Laboratory Medicine Machine learning Methods Molecular Medicine Neural networks Non-coding RNA Ontology Original Research Article Pathogenesis Performance prediction Pharmacotherapy Semantics
ISSN:	1177-1062, 1179-2000, 1179-2000
Online Access:	Get full text
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