Sangurdekar Dipen P, Srienc Friedrich, Khodursky Arkady B
Department of Chemical Engineering and Materials Science, University of Minnesota, Saint Paul, MN 55108, USA.
Genome Biol. 2006;7(4):R32. doi: 10.1186/gb-2006-7-4-r32. Epub 2006 Apr 20.
Genome-wide surveys of transcription depend on gene classifications for the purpose of data interpretation. We propose a new information-theoretical-based method to: assess significance of co-expression within any gene group; quantitatively describe condition-specific gene-class activity; and systematically evaluate conditions in terms of gene-class activity. We applied this technique to describe microarray data tracking Escherichia coli transcriptional responses to more than 30 chemical and physiological perturbations. We correlated the nature and breadth of the responses with the nature of perturbation, identified gene group proxies for the perturbation classes and quantitatively compared closely related physiological conditions.
全基因组转录调查依赖于基因分类来进行数据解释。我们提出了一种基于信息论的新方法，用于：评估任何基因组内共表达的显著性；定量描述特定条件下的基因类活性；以及根据基因类活性系统地评估条件。我们应用这项技术来描述追踪大肠杆菌对30多种化学和生理扰动的转录反应的微阵列数据。我们将反应的性质和广度与扰动的性质相关联，确定了扰动类别的基因组代理，并定量比较了密切相关的生理条件。
