Incorporating feature ranking and evolutionary methods for the classification of high-dimensional DNA microarray gene expression data

BACKGROUND: DNA microarray gene expression classification poses a challenging task to the machine learning domain. Typically, the dimensionality of gene expression data sets could go from several thousands to over 10,000 genes. A potential solution to this issue is using feature selection to reduce...

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Bibliographic Details
Main Authors: Abedini, Mani, Kirley, Michael, Chiong, Raymond
Format: Artigo
Language:Inglês
Published: Australasian Medical Journal 2013
Subjects:
Research
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC3674418/
https://ncbi.nlm.nih.gov/pubmed/23745148
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4066/AMJ.2013.1641
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