Harnessing naturally randomized transcription to infer regulatory relationships among genes

Lin S. Chen, Frank Emmert-Streib, John D. Storey

Research output: Contribution to journalArticle

73 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article numberR219
JournalGenome biology
Volume8
Issue number10
DOIs
StatePublished - Oct 11 2007

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology

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