Harnessing naturally randomized transcription to infer regulatory relationships among genes
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* Corresponding author: John D Storey jstorey@u.washington.edu
1 Department of Biostatistics, University of Washington, 1705 NE Pacific St, Seattle, WA 98195, USA.
2 Department of Genome Sciences, University of Washington, 1705 NE Pacific St, Seattle, WA 98195, USA.
Genome Biology 2007, 8:R219 doi:10.1186/gb-2007-8-10-r219
Published: 11 October 2007Abstract
We develop an approach utilizing randomized genotypes to rigorously infer causal regulatory relationships among genes at the transcriptional level, based on experiments in which genotyping and expression profiling are performed. This approach can be used to build transcriptional regulatory networks and to identify putative regulators of genes. We apply the method to an experiment in yeast, in which genes known to be in the same processes and functions are recovered in the resulting transcriptional regulatory network.