되돌림설계를 이용한 마이크로어레이 실험 자료의 분석 = Statistical Analysis of a Loop Designed Microarray Experiment Data

다국어 초록 (Multilingual 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.