NeuroTIS: Enhancing the prediction of translation initiation sites in mRNA sequences via a hybrid dependency network and deep learning framework

作者：

Highlights：

• Exploiting label dependency among coding region helps prediction of coding region.

• Exploiting label dependency between coding region and TIS helps prediction of TIS.

• Incorporating explicit biological knowledge promotes power of CNN for TIS prediction.

摘要

•Exploiting label dependency among coding region helps prediction of coding region.•Exploiting label dependency between coding region and TIS helps prediction of TIS.•Incorporating explicit biological knowledge promotes power of CNN for TIS prediction.

论文关键词：Deep learning,Bioinformatics,Translation initiation sites prediction,Dependency network,Label dependency

论文评审过程：Received 5 March 2020, Revised 4 August 2020, Accepted 2 September 2020, Available online 4 November 2020, Version of Record 24 December 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106459