ChIP-on-chip significance analysis reveals ubiquitous transcription factor binding

Abstract

ChIP-on-chip technology provides a genome-scale view of transcription factor (TF)/target interactions and a systems level window into transcriptional regulatory networks. However, while many studies have used ChIP-on-chip data to effectively discover new TF targets, statistical methods have fallen short of developing an accurate model to disassociate signals caused by experimental noise from those caused by true biological variation, thus leveraging the technology to provide high confidence predictions of the full range of interactions