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Table 5 AUROC and AUPR for SCODE with classical GRN inference and ModularBoost

From: ModularBoost: an efficient network inference algorithm based on module decomposition

Methods SCODE PrE SCODE MEF SCODE DE
AUROC AUPR AUROC AUPR AUROC AUPR
Ridge 0.529 0.076 0.502 0.074 0.496 0.041
Linear regression 0.524 0.072 0.516 0.076 0.505 0.041
TIGRESS 0.501 0.062 0.487 0.066 0.502 0.042
GRNBoost2 0.466 0.058 0.474 0.067 0.503 0.046
ModularBoost 0.532 0.077 0.540 0.088 0.503 0.044