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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.

Publication details
Download http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2579711
Publisher Oxford University Press
Repository PubMed Central (PMC3 - NLM DTD) (United States)
Keywords German Conference on Bioinformatics
Type Text
Language English