Inferring gene expression dynamics via functional regression analysis

Background: Temporal gene expression profiles characterize the time-dynamics of expression of specific genes and are increasingly collected in current gene expression experiments. In the analysis of experiments where gene expression is obtained over the life cycle, it is of interest to relate temporal patterns of gene expression associated with different developmental stages to each other to study patterns of long-term developmental gene regulation. We use tools from functional data analysis to study dynamic changes by relating temporal gene expression profiles of different developmental stages to each other. Results: We demonstrate that functional regression methodology can pinpoint relationships that exist between temporary gene expression profiles for different life cycle phases and incorporates dimension reduction as needed for these high-dimensional data. By applying these tools, gene expression profiles for pupa and adult phases are found to be strongly related to the profiles o...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Hans-Georg Müller, Jeng-Min Chiou, Xiaoyan Leng
• Keywords: BMCBI 2008, Gene Expression, Gene Expression Profiles, Temporal Gene Expression