Statistical modelling of transcript profiles of differentially regulated genes.

ABSTRACT:

Background

The vast quantities of gene expression profiling data produced in microarray studies, and the more precise quantitative PCR, are often not statistically analysed to their full potential. Previous studies have summarised gene expression profiles using simple descriptive statistics, basic analysis of variance (ANOVA) and the clustering of genes based on simple models fitted to their expression profiles over time. We report the novel application of statistical non-linear regression modelling techniques to describe the shapes of expression profiles for the fungus Agaricus bisporus, quantified by PCR, and for E. coli and Rattus norvegicus, using microarray technology. The use of parametric non-linear regression models provides a more precise description of expression profiles

SUBMITTER: Eastwood DC 

PROVIDER: S-EPMC2525656 | biostudies-literature | 2008 Jul

REPOSITORIES: biostudies-literature