A Comparative Analysis of Machine Learning and Deep Learning Approaches for Circular RNA Classification
Author:
Affiliation:
1. Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham,Coimbatore,India
2. School of Computing, Kunsan National University,Gunsan,Republic of South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10397581/10397594/10397741.pdf?arnumber=10397741
Reference20 articles.
1. Circular RNA as a Novel Biomarker for Diagnosis and Prognosis and Potential Therapeutic Targets in Multiple Myeloma
2. Deep learning and ensemble deep learning for circRNA-RBP interaction prediction in the last decade: A review
3. Identifying Circular RNA and Predicting Its Regulatory Interactions by Machine Learning
4. Characterization of circular RNAs with advanced sequencing technologies in human complex diseases
5. Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches
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