Figure 4From: Experimental design for efficient identification of gene regulatory networks using sparse Bayesian modelsReconstruction Performance for Different Experimental Conditions. Comparison between LD (Laplace, design) and LR (Laplace, random experiments) under different conditions. Score is average iAUC after 25, ..., 50 experiments. (Left): Number r of non-zero u coefficients in each disturbance varied, keeping ||u|| constant. (Middle): Norm ||u|| of disturbances varied, while keeping r = 3 and low noise level. (Right): Stochastic noise in the data (1) varied, for constant ||u||, r = 3. Settings marked with *: LD is significantly superior to LR, according to t-test at level 1%.Back to article page