Predicting Diagnostic Gene Biomarkers for Non-Small-Cell Lung Cancer

Table 1

The 11 cancer-specific gene modules.

Module name	AUC_ROC	The most significantly enriched function ( value)
M44	0.996	GO: protein targeting to membrane (0.00110)
M394	0.909	GO: epidermis development (1.80e − 08)
M53	0.000404	MSigDB: CTRL_VS_DAY3_LAIV_IFLU_VACCINE_PBMC_UP (0.00670)
M348	0.00113	MSigDB: MIKKELSEN_IPS_LCP_WITH_H3K4ME3 (0.00670)
M350	0.00313	MSigDB: BOSCO_TH1_CYTOTOXIC_MODULE (1.80e − 08)
M60	0.00833	MSigDB: MCLACHLAN_DENTAL_CARIES_UP (8.66e − 11)
M349	0.0091	MSigDB: BMP2_TARGETS_UP (0.00159)
M264	0.0159	MSigDB: SHEDDEN_LUNG_CANCER_GOOD_SURVIVAL (5.66e − 04)
M83	0.0273	MSigDB: BOYLAN_MULTIPLE_MYELOMA (9.10e − 04)
M94	0.0284	None
M315	0.0913	GO: cell chemotaxis (8.50e − 07)