Prediction of disease-associated circRNAs via circRNA–disease pair graph and weighted nuclear norm minimization

作者：

Highlights：

• A circRNA–disease pair graph was constructed to reveal associations between pairs.

• Using the LeaderRank algorithm, all potential relationships were pre-sorted.

• A WNNM model was designed to effectively complete the relational matrix.

• The prediction results can illustrate the regulation functions of some circRNAs.

摘要

•A circRNA–disease pair graph was constructed to reveal associations between pairs.•Using the LeaderRank algorithm, all potential relationships were pre-sorted.•A WNNM model was designed to effectively complete the relational matrix.•The prediction results can illustrate the regulation functions of some circRNAs.

论文关键词：Predicting disease–circRNAs,Weighted nuclear norm minimization,circRNA–disease pair graph,LeaderRank,CircRNA expression

论文评审过程：Received 1 May 2020, Revised 24 November 2020, Accepted 15 December 2020, Available online 30 December 2020, Version of Record 2 January 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106694