Genomics & Informatics

  • 제5권3호
  • /
  • Pages.118-123
  • /
  • 2007
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  • 1598-866X(pISSN)
  • /
  • 2234-0742(eISSN)
한국유전체학회 (Korea Genome Organization)
권호 표지

Effect of Normalization on Detection of Differentially-Expressed Genes with Moderate Effects

  • Cho, Seo-Ae (Interdisciplinary Program in Bioinformatics, Seoul National University) ;
  • Lee, Eun-Jee (Interdisciplinary Program in Bioinformatics, Seoul National University) ;
  • Kim, Young-Chul (Department of Statistics, Seoul National University) ;
  • Park, Tae-Sung (Department of Statistics, Seoul National University)
  • 발행 : 2007.09.30
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초록

The current existing literature offers little guidance on how to decide which method to use to analyze one-channel microarray measurements when dealing with large, grouped samples. Most previous methods have focused on two-channel data;therefore they can not be easily applied to one-channel microarray data. Thus, a more reliable method is required to determine an appropriate combination of individual basic processing steps for a given dataset in order to improve the validity of one-channel expression data analysis. We address key issues in evaluating the effectiveness of basic statistical processing steps of microarray data that can affect the final outcome of gene expression analysis without focusingon the intrinsic data underlying biological interpretation.

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참고문헌

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