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Figure 1 | BMC Medical Genomics

Figure 1

From: Novel application of multi-stimuli network inference to synovial fibroblasts of rheumatoid arthritis patients

Figure 1

Impact of the parameter variations. Influence of the NetGenerator parameter ‘allowedError’ on average MSE (+), number of network edges (o), and number of integrated prior knowledge edges (△). The optimized model, selected on the basis of low average MSE and high number of integrated prior knowledge edges (indicated by a dotted line), showed an average MSE of 2.91, 17 integrated prior knowledge edges, 84 network edges in total, and an ‘allowedError’of 0.045.

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BMC Medical Genomics

ISSN: 1755-8794

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