Applying filter approach and genetic algorithm wrapper for gene selection from gene expression data
Gene expression microarray data is expected to significantly aid in the development of efficient cancer diagnosis and classification platforms. One problem arising from this data is how to select a small subset of genes from thousands of genes and much fewer samples that are inherently noisy. This r...
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2005
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| Online Access: | http://eprints.utm.my/id/eprint/21814/1/MohdSaberiMohamad2005_Applying_Filter_Approach_Genetic_Alg.pdf http://eprints.utm.my/id/eprint/21814/ https://www.academia.edu/1565896/Applying_Filter_Approach_and_Genetic_Algorithm_Wrapper_for_Gene_Selection_from_Gene_Expression_Data?auto=download |
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