Validation and characterization of DNA microarray gene expression data distribution and associated moments

Background: The data from DNA microarrays are increasingly being used in order to understand effects of different conditions, exposures or diseases on the modulation of the expression of various genes in a biological system. This knowledge is then further used in order to generate molecular mechanistic hypotheses for an organism when it is exposed to different conditions. Several different methods have been proposed to analyze these data under different distributional assumptions on gene expression. However, the empirical validation of these assumptions is lacking. Results: Best fit hypotheses tests, moment-ratio diagrams and relationships between the different moments of the distribution of the gene expression was used to characterize the observed distributions. The data are obtained from the publicly available gene expression database, Gene Expression Omnibus (GEO) to characterize the empirical distributions of gene expressions obtained under varying experimental situations each of ...

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Reuben Thomas, Luis de la Torre, Xiaoqing Chang, Sanjay Mehrotra
• Keywords: BMCBI 2007, BMCBI 2010, Gene Expressions, Hypotheses, Null Hypotheses