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Statistical Validation of Two Sample Comparison Methods for Oligonucleotide Microarray in Rat Ischemia Model
Authors:Megumi Sugahara Kobayashi  Yasuo Takahashi  Toshihito Nagata  Yayoi Nishida  Koichi Ishikawa  Satoshi Asai
Affiliation:(1) Division of Genomic Epidemiology and Clinical Trials, Advanced Medical Research Center, Nihon University School of Medicine, Oyaguchi-Kami Machi, Itabashi-ku, Tokyo 173-8610, Japan;(2) Department of Pharmacology, Nihon University School of Medicine, Tokyo, Japan
Abstract:In gene expression analyses using a high-density oligonucleotide array in a rat ischemia model, two comparison methods, “pair-wise comparison” and “sample average comparison”, were evaluated based on statistical methods. The reliability of the elements screened with a 1.2 to 10-fold threshold was also evaluated. In pair-wise comparisons, most of the elements were significantly independent of the threshold value, with the percentage of significant elements remaining above 95%, when screened at 2.5-fold or higher threshold value. Pair-wise comparison structurally provided strict screening, which resulted in genes that were not selected despite significant alterations in expression. Screening by “sample average comparison” resulted in elements with low probability of significance, which suggested the necessity for increasing the reliability by additional statistical analyses after screening. When genes with altered expression were screened using an oligonucleotide array, marked differences in the numbers and reliability were proved to exist among elements screened by each sample comparison method.
Keywords:Microarray  Gene expression  Pair-wise comparison  Threshold  Statistics  Ischemia
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