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Figure 1 | BMC Systems Biology

Figure 1

From: Inference of the Xenopus tropicalis embryonic regulatory network and spatial gene expression patterns

Figure 1

Inference error versus number of observations. The proportional error (i.e., inference error) denotes the minimal cross-validation error divided by the minimal least-squares error of the linear regression without any regularization terms and averaged over five random networks. The proportional errors decrease with more observations and stabilize when there are enough observations.

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BMC Systems Biology

ISSN: 1752-0509

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