title: [Principal component analysis for exploring gene expression patterns].
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.
authors: College of Life Science and Technology, EST of China, Chengdu 610054, China.
authors: Chengxiong
authors: C
authors: Wang
authors: Nini
authors: N
authors: Rao
authors: Yu
authors: Y
authors: Wang
mesh_terms: D000465:Algorithms; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D025341:Principal Component Analysis; D015003:Yeasts / Q000235:genetics*