Statistical modeling of large microarray data sets to identify stimulus-response profiles.

ABSTRACT: A statistical modeling approach is proposed for use in searching large microarray data sets for genes that have a transcriptional response to a stimulus. The approach is unrestricted with respect to the timing, magnitude or duration of the response, or the overall abundance of the transcript. The statistical model makes an accommodation for systematic heterogeneity in expression levels. Corresponding data analyses provide gene-specific information, and the approach provides a means for evaluating the statistical significance of such information. To illustrate this strategy we have derived a model to depict the profile expected for a periodically transcribed gene and used it to look for budding yeast transcripts that adhere to this profile. Using objective criteria, this method identifies 8

SUBMITTER: Zhao LP 

PROVIDER: S-EPMC33264 | biostudies-literature | 2001 May

REPOSITORIES: biostudies-literature