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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