Inference of combinatorial regulation in yeast transcriptional networks: a case study of sporulation.

ABSTRACT: Decomposing transcriptional regulatory networks into functional modules and determining logical relations between them is the first step toward understanding transcriptional regulation at the system level. Modules based on analysis of genome-scale data can serve as the basis for inferring combinatorial regulation and for building mathematical models to quantitatively describe the behavior of the networks. We present here an algorithm called modem to identify target genes of a transcription factor (TF) from a single expression experiment, based on a joint probabilistic model for promoter sequence and gene expression data. We show how this method can facilitate the discovery of specific instances of combinatorial regulation and illustrate this for a specific case of transcriptional networks

SUBMITTER: Wang W 

PROVIDER: S-EPMC548531 | biostudies-literature | 2005 Feb

REPOSITORIES: biostudies-literature