Principal component analysis for exploring gene expression patterns.
- Author:
Chengxiong WANG
1
;
Nini RAO
;
Yu WANG
Author Information
1. College of Life Science and Technology, EST of China, Chengdu 610054, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Gene Expression Profiling;
methods;
Gene Expression Regulation;
Oligonucleotide Array Sequence Analysis;
methods;
Principal Component Analysis;
Yeasts;
genetics
- From:
Journal of Biomedical Engineering
2007;24(4):736-741
- CountryChina
- Language:Chinese
-
Abstract:
When projecting microarray data of yeast time series into principal component space based on time-points (arrays), we can not only ascribe biologically meaningful explanations to the first few principal components, but also discover sensible gene expression patterns and the according genes with periodic fluctuation this helps the subsequent research of gene periodic expression and gene regulatory network.
