Differential co-expression-based detection of conditional relationships in transcriptional data: comparative analysis and application to breast cancer

Abstract

Our analysis of networks inferred from simulated data show that hub nodes are more likely to be differentially regulated targets than transcription factors. Based on this observation, we propose an interpretation of the inferred differential network that can reconstruct a putative causal network.