A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Global transcription network incorporating distal regulator binding reveals selective cooperation of cancer drivers and risk genes
2015
Nucleic Acids Research
Global network modeling of distal regulatory interactions is essential in understanding the overall architecture of gene expression programs. Here, we developed a Bayesian probabilistic model and computational method for global causal network construction with breast cancer as a model. Whereas physical regulator binding was well supported by gene expression causality in general, distal elements in intragenic regions or loci distant from the target gene exhibited particularly strong functional
doi:10.1093/nar/gkv532
pmid:26001967
pmcid:PMC4499150
fatcat:hvpbvysiwndhhhnyawxbkog65u