Complex harmonic regularization with differential evolution in a memetic framework for biomarker selection

Sai Wang, Hai-Wei Shen, Hua Chai and Yong Liang

PLOS ONE, 2019, vol. 14, issue 2, 1-21

Abstract: For studying cancer and genetic diseases, the issue of identifying high correlation genes from high-dimensional data is an important problem. It is a great challenge to select relevant biomarkers from gene expression data that contains some important correlation structures, and some of the genes can be divided into different groups with a common biological function, chromosomal location or regulation. In this paper, we propose a penalized accelerated failure time model CHR-DE using a non-convex regularization (local search) with differential evolution (global search) in a wrapper-embedded memetic framework. The complex harmonic regularization (CHR) can approximate to the combination ℓ p ( 1 2 ≤ p

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0210786

DOI: 10.1371/journal.pone.0210786

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