作者
Taesung Park, Sung-Gon Yi, Sung-Hyun Kang, SeungYeoun Lee, Yong-Sung Lee, Richard Simon
发表日期
2003/12
期刊
BMC bioinformatics
卷号
4
页码范围
1-13
出版商
BioMed Central
简介
Background
Microarray technology allows the monitoring of expression levels for thousands of genes simultaneously. This novel technique helps us to understand gene regulation as well as gene by gene interactions more systematically. In the microarray experiment, however, many undesirable systematic variations are observed. Even in replicated experiment, some variations are commonly observed. Normalization is the process of removing some sources of variation which affect the measured gene expression levels. Although a number of normalization methods have been proposed, it has been difficult to decide which methods perform best. Normalization plays an important role in the earlier stage of microarray data analysis. The subsequent analysis results are highly dependent on normalization.
Results
In this paper, we use the variability among …
引用总数
学术搜索中的文章
T Park, SG Yi, SH Kang, SY Lee, YS Lee, R Simon - BMC bioinformatics, 2003