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Principal component analysis for exploring gene expression patterns / 生物医学工程学杂志
Article in Chinese | WPRIM | ID: wpr-346081
Responsible library: WPRO
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.
Subject(s)
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

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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