A categorical network approach for discovering differentially expressed regulations in cancer

BMC Medical Genomics

Table 6 Top performing pathways by ACC prediction accuracy for the (LNG1, LNG3) pair.

Pathway	BNKL	SVM	LAS	PC
Axon guidance	0.87	0.93	0.83	0.70
Melanogenesis	0.92	0.83	0.66	0.72
Tight junction	0.92	0.88	0.89	0.73
p53 signaling pathway	0.92	0.91	0.76	0.72
Pathways in cancer	0.89	0.86	0.91	0.74
Complement and coagulation cascades	0.75	0.91	0.74	0.52
Fructose and mannose metabolism	0.82	0.91	0.82	0.60
Chronic myeloid leukemia	0.86	0.91	0.74	0.72
Bile secretion	0.90	0.87	0.72	0.67
Small cell lung cancer	0.87	0.90	0.71	0.69
Wnt signaling pathway	0.90	0.84	0.69	0.64
Cell adhesion molecules (CAMs)	0.88	0.90	0.67	0.53
Leukocyte transendothelial migration	0.90	0.89	0.81	0.54
Endocytosis	0.90	0.88	0.86	0.67
Non-small cell lung cancer	0.90	0.89	0.74	0.77
T cell receptor signaling pathway	0.88	0.88	0.76	0.74

ISSN: 1755-8794