Tsiporkova Elena, Boeva Veselka
Innovation Center, East Flanders, House of Economy, Seminariestraat and 2, B-9000 Ghent, Belgium.
Bioinformatics. 2008 Aug 15;24(16):i63-9. doi: 10.1093/bioinformatics/btn264.
A novel integration approach targeting the combination of multi-experiment time series expression data is proposed. A recursive hybrid aggregation algorithm is initially employed to extract a set of genes, which are eventually of interest for the biological phenomenon under study. Next, a hierarchical merge procedure is specifically developed for the purpose of fusing together the multiple-experiment expression pro.les of the selected genes. This employs dynamic time warping alignment techniques in order to account adequately for the potential phase shift between the different experiments. We subsequently demonstrate that the resulting gene expression pro.les consistently re.ect the behavior of the original expression pro.les in the different experiments.
Supplementary data are available athttp://www.tu-plovdiv.bg/Container/bi/DataIntegration/
提出了一种针对多实验时间序列表达数据组合的新型整合方法。最初采用递归混合聚合算法来提取一组基因，这些基因最终是所研究生物现象感兴趣的对象。接下来，专门开发了一种分层合并程序，用于融合所选基因的多实验表达谱。这采用动态时间规整对齐技术，以便充分考虑不同实验之间潜在的相位偏移。我们随后证明，所得的基因表达谱始终反映了不同实验中原始表达谱的行为。
补充数据可在http://www.tu-plovdiv.bg/Container/bi/DataIntegration/获取。
