A Comparative Analysis of Machine Learning and Deep Learning Approaches for Circular RNA Classification-Reference-Cited by-同舟云学术

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A Comparative Analysis of Machine Learning and Deep Learning Approaches for Circular RNA Classification

Published:2023-09-14 Issue: Volume: Page:1026-1034
ISSN:
Container-title:2023 6th International Conference on Contemporary Computing and Informatics (IC3I)
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Author:

Rajendran Vivek¹,Anandaram Harishchander¹,Kumar S Sachin¹,Soman K. P.¹,Dhivya S²

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

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison and benchmark of deep learning methods for non-coding RNA classification;PLOS Computational Biology;2024-09-12

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