Principal component analysis for exploring gene expression patterns / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 736-741, 2007.
Article
in Chinese
| WPRIM
| ID: wpr-346081
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Yeasts
/
Algorithms
/
Gene Expression Regulation
/
Oligonucleotide Array Sequence Analysis
/
Gene Expression Profiling
/
Principal Component Analysis
/
Genetics
/
Methods
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2007
Type:
Article
Similar
MEDLINE
...
LILACS
LIS