Harnessing naturally randomized transcription to infer regulatory relationships among genes

L.S. Chen, Frank Emmert-Streib, J.D. Storey

Research output: Contribution to journalArticle

74 Citations (Scopus)

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
Article numberR219
JournalGenome Biology
Volume8
Issue number10
DOIs
Publication statusPublished - 11 Oct 2007

ASJC Scopus subject areas

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

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