Genomics Inform Search

CLOSE


Genomics Inform > Volume 5(3); 2007 > Article
Effect of Normalization on Detection of Differentially-Expressed Genes with Moderate Effects.
Seoae Cho, Eunjee Lee, Youngchul Kim, Taesung Park
1Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-921, Korea.
2Department of Statistics, Seoul National University, Seoul 151-921, Korea. tspark@stats.snu.ac.kr
Abstract
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 onechannel 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.
Keywords: Normalization; CFS disease; Microarray; ANOVA
TOOLS
Share :
Facebook Twitter Linked In Google+
METRICS Graph View
  • 951 View
  • 6 Download
Related articles in GNI


ABOUT
ARTICLE CATEGORY

Browse all articles >

BROWSE ARTICLES
FOR CONTRIBUTORS
Editorial Office
Room No. 806, 193 Mallijae-ro, Jung-gu, Seoul 04501, Korea
Tel: +82-2-558-9394    Fax: +82-2-558-9434    E-mail: kogo3@kogo.or.kr                

Copyright © 2022 by Korea Genome Organization.

Developed in M2PI

Close layer
prev next