Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators

Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators

DNA microarray technology is the fabrication of a single chip to contain a thousand genetic codes. Each microarray experiment can analyze many thousands of genes in parallel. The outcomes of the DNA microarray is a table/matrix, called gene expression data. Pattern recognition algorithms are widely...

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Bibliographic Details
Main Author: Abu Zitar, Raed (author)
Other Authors: Alomari, Osama Ahmad (author), Makhadmeh, Sharif Naser (author), Al-Betar, Mohammed Azmi (author), Alyasseri, Zaid Abdi Alkareem (author), Doush, Iyad Abu (author), Abasi, Ammar Kamal (author), Awadallah, Mohammed A. (author)
Published: 2021
Subjects:
Gray Wolf Optimizer
Gene selection
Optimization
TRIZ
rMRMR
SVM
Classification
Online Access:http://hdl.handle.net/20.500.12458/449
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http://hdl.handle.net/20.500.12458/449

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