A machine learning framework for accurately recognizing circular RNAs for clinical decision-supporting

A machine learning framework for accurately recognizing circular RNAs for clinical decision-supporting

Abstract Background Circular RNAs (circRNAs) are those RNA molecules that lack the poly (A) tails, which present the closed-loop structure. Recent studies emphasized that some circRNAs imply different functions from canonical transcripts, and further associated with complex diseases. Several computa...

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Bibliographic Details
Main Authors: Yidan Wang, Xuanping Zhang, Tao Wang, Jinchun Xing, Zhun Wu, Wei Li, Jiayin Wang
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
RNA-seq data analysis
Circular RNA
Detection method
Machine learning
High precision
Online Access:http://link.springer.com/article/10.1186/s12911-020-1117-0

Internet

http://link.springer.com/article/10.1186/s12911-020-1117-0

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