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Fig. 6 | BMC Systems Biology

Fig. 6

From: GNE: a deep learning framework for gene network inference by aggregating biological information

Fig. 6

Temporal holdout validation in predicting new interactions. Performance is measured by the area under the ROC curve and the area under the precision-recall curve. Shown are the performance of each method based on the AUROC (a, b) and AUPR (c, d) for yeast and E. coli. The limit of the y-axis is adjusted to [0.5, 1.0] for the precision-recall curve to make the difference in performance more visible. GNE outperforms LINE and node2vec

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