An integrative analysis system of gene expression using self-paced learning and SCAD-Net

作者：

Highlights：

• A new integrative analysis system for gene-expression value enhancement is proposed.

• A novel biomarker selection method and its algorithm are proposed.

• Some therapeutic potential markers and pathways for NSCLC are provided.

摘要

•A new integrative analysis system for gene-expression value enhancement is proposed.•A novel biomarker selection method and its algorithm are proposed.•Some therapeutic potential markers and pathways for NSCLC are provided.

论文关键词：Integrative analysis system,Meta-analysis,Regularization,Variable selection,Gene expression

论文评审过程：Received 25 October 2018, Revised 7 May 2019, Accepted 6 June 2019, Available online 7 June 2019, Version of Record 14 June 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.06.016