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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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