Figure 3From: Experimental design for efficient identification of gene regulatory networks using sparse Bayesian modelsReconstruction Performance for Different Methods. Reconstruction curves for experiments (gene expression changes of 1%, SNR 100, r = 3 non-zeros per u). LD: Laplace prior, experimental design. LR: Laplace prior, random experiments. GD: Gaussian prior, experimental design. GR: Gaussian prior, random experiments. LM: Laplace prior, mixed selections (first 20 random, then designed). Error bars show one standard deviation over runs. All visually discernible differences in mean curves of different methods are significant under the t-test at level 1%.Back to article page