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Statistical Methods for Gene Expression Data
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 Title & Authors
Statistical Methods for Gene Expression Data
Kim, Choongrak;
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 Abstract
Since the introduction of DNA microarray, a revolutionary high through-put biological technology, a lot of papers have been published to deal with the analyses of the gene expression data from the microarray. In this paper we review most papers relevant to the cDNA microarray data, classify them in statistical methods` point of view, and present some statistical methods deserving consideration and future study.
 Keywords
classification;false discovery rate;hybridization;microarray;
 Language
English
 Cited by
1.
Recovery Levels of Clustering Algorithms Using Different Similarity Measures for Functional Data,;;;

Communications for Statistical Applications and Methods, 2004. vol.11. 2, pp.369-380 crossref(new window)
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