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Table 2 Cancer types and best performing inference network methods with maximum F-measure value

From: INBIA: a boosting methodology for proteomic network inference

Cancer Type INBIA PERA
BLCA CLR (0.188) ELASTICNET (0.179)
BRCA GLASSO (0.186) PLS (0.179)
COAD CLR (0.182) ARACNE (0.166)
GBM PLS (0.196) PLS (0.191)
HNSC PLS (0.184) PLS (0.178)
KIRC PLS (0.210) PLS (0.180)
LGG PLS (0.193) PLS (0.194)
LUAD CLR (0.187) SPEARMAN (0.188)
LUSC CLR (0.184) SPEARMAN (0.184)
OV GLASSO (0.191) PLS (0.174)
PRAD MRNET (0.191) WGCNA (0.168)
READ MRNET (0.186) CLR (0.166)
SKCM MRNET (0.188) WGCNA (0.166)
STAD PLS (0.179) PLS (0.165)
THCA PLS (0.196) PLS (0.174)
UCEC PLS (0.189) WGCNA (0.178)