Cell separation algorithm with enhanced search behaviour in miRNA feature selection for cancer diagnosis

作者：

Highlights：

• Feature selection from miRNA data using an enhanced CSA.

• A new search behaviour for CSA is proposed.

• Setting the different levels and periods tohandle the number of features.

• Comparison of classification accuracy with 22 well-known classifiers.

• Achieving accuracy of 100% in 25 out of 29 classes of genomic data.

摘要

•Feature selection from miRNA data using an enhanced CSA.•A new search behaviour for CSA is proposed.•Setting the different levels and periods tohandle the number of features.•Comparison of classification accuracy with 22 well-known classifiers.•Achieving accuracy of 100% in 25 out of 29 classes of genomic data.

论文关键词：Cell separation algorithm,microRNA data,Feature selection,Cancer diagnosis,Exploration,Exploitation

论文评审过程：Received 1 November 2020, Revised 2 June 2021, Accepted 9 September 2021, Available online 13 October 2021, Version of Record 21 October 2021.

论文官网地址：https://doi.org/10.1016/j.is.2021.101906