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Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models
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High-throughput measurement technologies such as microarrays provide complex datasets reflecting mechanisms perturbed in an experiment, typically a treatment vs. control design. Analysis of these information rich data can be guided based on a priori knowledge, such as networks or set of related proteins or genes.
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