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CircRNA identification and feature interpretability analysis.

Mengting NiuChunyu WangYaojia ChenQuan ZouRen QiLei Xu
Published in: BMC biology (2024)
CircDC is suitable for the prediction of circRNA. The identification of circRNA helps to understand and delve into the related biological processes and functions. Feature importance analysis increases model interpretability and uncovers significant biological properties. The relevant code and data in this article can be accessed for free at https://github.com/nmt315320/CircDC.git .
Keyphrases
  • machine learning
  • electronic health record
  • big data