Leung Elo, Bushel Pierre R
Bioinformatics and Computational Biology, School of Computational Sciences, George Mason University, Manassas, VA 20110, USA.
Bioinformatics. 2006 Feb 1;22(3):367-8. doi: 10.1093/bioinformatics/bti778. Epub 2005 Dec 1.
Grouping of gene expression patterns across biological experiments, treatments and time-series data is performed in q-intervals of measurements using phase-shifted analysis of gene expression (PAGE); a Java-based tool to find clusters of genes that share trends of expression profiles within the dataset. The patterns and genes within q-Clusters are visualized in trend plots and compared to determine biological relevance from the gene annotations.
利用基因表达相移分析(PAGE),在测量的q区间内对跨生物实验、处理和时间序列数据的基因表达模式进行分组;PAGE是一个基于Java的工具,用于在数据集中找到具有共享表达谱趋势的基因簇。q簇内的模式和基因在趋势图中可视化,并进行比较,以根据基因注释确定生物学相关性。