Estimating large-scale signaling networks through nested effect models with intervention effects from microarray data

Abstract

Motivation: Targeted interventions using RNA interference in combination with the measurement of secondary effects with DNA microarrays can be used to computationally reverse engineer features of upstream non-transcriptional signaling cascades based on the nested structure of effects