Single-Channel Normalisation for cDNA microarray experiments
by
Natalie Thorne
The Walter and Eliza Hall Institute of Medical Research (WEHI)

Microarray experiments measure the expression of thousands of genes simultaneously and generate large and complex multivariate datasets. There are many sources of systematic variation in microarray experiments which affect the measured gene expression levels. Normalisation is the term used to describe the process of identifying and removing all sources of systematic variation not due to differences between the genes. Traditional normalisation methods focus on adjusting the log-ratios within each slide. Here we look at single-channel or log-intensity normalisation, and the motivation for doing this. We investigate the possibility of obtaining meaningful information on the single channels from two-color microarray experiments, after careful single-channel normalisation. Some methods for single-channel normalisation will be presented and an investigation into the problem of assessing the performance (variance/bias trade-off) of the different normalisation methods.

Date received: October 8, 2002

Copyright © 2002 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cajn-51.