Wang Chengxiong, Rao Nini, Wang Yu
College of Life Science and Technology, EST of China, Chengdu 610054, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2007 Aug;24(4):736-41.
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.
当基于时间点（阵列）将酵母时间序列的微阵列数据投影到主成分空间时，我们不仅可以对前几个主成分赋予生物学上有意义的解释，还能发现合理的基因表达模式以及具有周期性波动的相应基因，这有助于后续对基因周期性表达和基因调控网络的研究。
