Fig. 5: Benchmark of MINIE against state-of-the-art GRN inference methods. | npj Systems Biology and Applications

Fig. 5: Benchmark of MINIE against state-of-the-art GRN inference methods.

From: Multi-omic network inference from time-series data

Fig. 5

a Receiver-operating characteristic curves and b precision-recall curves of MINIE, BINGO and dynGENIE3. The results show that MINIE (AUROC = 0.93, AUPRC = 0.86) outperforms both BINGO (AUROC = 0.80, AUPRC = 0.78) and dynGENIE3 (AUROC = 0.79, AUPRC = 0.77).

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