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http://dx.doi.org/10.5351/KJAS.2004.17.3.419

Statistical Analysis of a Loop Designed Microarray Experiment Data  

이선호 (세종대학교 응용수학과)
Publication Information
The Korean Journal of Applied Statistics / v.17, no.3, 2004 , pp. 419-430 More about this Journal
Abstract
Since cDNA microarray experiments can monitor expression levels for thousands of genes simultaneously, the experimental designs and their analyzing methods are very important for successful analysis of microarray data. The loop design is discussed for selecting differentially expressed genes among several treatments and the analysis of variance method is introduced to normalize microarray data and provide estimates of the interesting quantities. MA-ANOVA is used to illustrate this method on a recently collected loop designed microarray data at Cancer Metastasis Research Center, Yonsei University.
Keywords
Reference design; Loop design; Analysis of variance; Cluster analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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