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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)