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Complex harmonic regularization with differential evolution in a memetic framework for biomarker selection
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...
Autores principales: | Wang, Sai, Shen, Hai-Wei, Chai, Hua, Liang, Yong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375558/ https://www.ncbi.nlm.nih.gov/pubmed/30763332 http://dx.doi.org/10.1371/journal.pone.0210786 |
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