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Fig. 6 | EURASIP Journal on Bioinformatics and Systems Biology

Fig. 6

From: Graph reconstruction using covariance-based methods

Fig. 6

Predictions by the nodewise regression Lasso (MB Lasso), the graphical Lasso (Glasso), the covariance Lasso, the thresholded sample covariance matrix (Thresholded SCov), and the random guessing using the synthetic data generated from four graph types (chain, cluster, scale-free, and hub graphs). Illustrated are predicted edges (resampled 100 times) and true edges (dark green circle) on correctly predicted vs total predicted axes (left). The Euclidean distances from true edges to predicted edges are summarized in terms of cumulative distribution which indicates the probability of the Euclidean distances (middle). Performances of methods are also assessed using traditional ROC curves (resampled 20 times)

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