A two-stage hybrid biomarker selection method based on ensemble filter and binary differential evolution incorporating binary African vultures optimization.

Journal: BMC bioinformatics

PMID: 37016297

Abstract

BACKGROUND: In the field of genomics and personalized medicine, it is a key issue to find biomarkers directly related to the diagnosis of specific diseases from high-throughput gene microarray data. Feature selection technology can discover biomarkers with disease classification information.

Authors

Wei Li

Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Yuhuan Chi

School of Computer Science and Engineering, Northeastern University, Shenyang, China.
Kun Yu

College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning 110819, China.
Weidong Xie

School of Computer Science and Engineering, Northeastern University, Shenyang, China.

Keywords

Algorithms Biomarkers Oligonucleotide Array Sequence Analysis Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (37016297)

A two-stage hybrid biomarker selection method based on ensemble filter and binary differential evolution incorporating binary African vultures optimization.

Abstract

Authors

Keywords

External Resources

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