Identifying Circular RNA and Predicting Its Regulatory Interactions by Machine Learning

Identifying Circular RNA and Predicting Its Regulatory Interactions by Machine Learning

Circular RNA (circRNA) is a closed long non-coding RNA (lncRNA) formed by covalently closed loops through back-splicing. Emerging evidence indicates that circRNA can influence cellular physiology through various molecular mechanisms. Thus, accurate circRNA identification and prediction of its regula...

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Bibliographic Details
Main Authors: Guishan Zhang, Yiyun Deng, Qingyu Liu, Bingxu Ye, Zhiming Dai, Yaowen Chen, Xianhua Dai
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Genetics
Subjects:
circular RNA
long non-coding RNA
microRNA
RNA binding protein
transcriptional regulation
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00655/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2020.00655/full

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