Identifying local gene expression patterns in biomolecular networks

Abstract

This study is aimed at elucidating putative transcription regulators (TRs) responsible for the observed differential expression pattern. Combined direct promoter binding and indirect transcriptional regulation networks were used, and the expression levels of each TR's downstream targets were collectively analyzed, as a sample, for significance. Statistical procedure was also developed that takes into account the sign of the expression change, thus requiring the downstream targets to exhibit expression pattern consistent with the regulatory relationship effect signs.