Machine Learning-Based Comparative Analysis of Pan-Cancer and Pan-Normal Tissues Identifies Pan-Cancer Tissue-Enriched circRNAs Related to Cancer Mutations as Potential Exosomal Biomarkers

Machine Learning-Based Comparative Analysis of Pan-Cancer and Pan-Normal Tissues Identifies Pan-Cancer Tissue-Enriched circRNAs Related to Cancer Mutations as Potential Exosomal Biomarkers

A growing body of evidence has shown that circular RNA (circRNA) is a promising exosomal cancer biomarker candidate. However, global circRNA alterations in cancer and the underlying mechanism, essential for identification of ideal circRNA cancer biomarkers, remain under investigation. We comparative...

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Bibliographic Details
Main Authors: Xuezhu Wang, Yucheng Dong, Zilong Wu, Guanqun Wang, Yue Shi, Yongchang Zheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Oncology
Subjects:
pan-cancer
circRNA
plasma exosomal biomarkers
machine learning
cancer mutations
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.703461/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.703461/full

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