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Figure 1 | BMC Systems Biology

Figure 1

From: Network signatures link hepatic effects of anti-diabetic interventions with systemic disease parameters

Figure 1

Schematic representation of the network analysis approach to link intervention targets to disease parameters. The analysis consists of the following steps: 1) The hepatic transcriptome dataset is used to build a weighted co-expression network from which modules are selected that are relevant for linking intervention effects to disease parameters. 2) A reference network is generated by adding knowledge-based biological context to the co-expression modules, including protein interactions, transcription factor targets and intervention targets. 3) For each intervention, an intervention-specific network is generated by filtering for genes significantly regulated by the intervention. 4) The kWalks algorithm is applied to the intervention-specific network for each intervention, to extract the most relevant paths linking intervention targets and co-expression modules that link to disease parameters.

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