We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Normalization of two-channel microarray experiments: a semiparametric approach.
- Authors
Eckel, J E; Gennings, C; Therneau, T M; Burgoon, L D; Boverhof, D R; Zacharewski, T R
- Abstract
An important underlying assumption of any experiment is that the experimental subjects are similar across levels of the treatment variable, so that changes in the response variable can be attributed to exposure to the treatment under study. This assumption is often not valid in the analysis of a microarray experiment due to systematic biases in the measured expression levels related to experimental factors such as spot location (often referred to as a print-tip effect), arrays, dyes, and various interactions of these effects. Thus, normalization is a critical initial step in the analysis of a microarray experiment, where the objective is to balance the individual signal intensity levels across the experimental factors, while maintaining the effect due to the treatment under investigation.
- Publication
Bioinformatics (Oxford, England), 2005, Vol 21, Issue 7, p1078
- ISSN
1367-4803
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/bti105