BioMed Research International / 2016 / Article / Tab 1

Research Article

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

Table 1

The 11 cancer-specific gene modules.

Module nameAUC_ROCThe most significantly enriched function ( value)

M440.996GO: protein targeting to membrane (0.00110)
M3940.909GO: epidermis development (1.80e − 08)
M530.000404MSigDB: CTRL_VS_DAY3_LAIV_IFLU_VACCINE_PBMC_UP (0.00670)
M3480.00113MSigDB: MIKKELSEN_IPS_LCP_WITH_H3K4ME3 (0.00670)
M3500.00313MSigDB: BOSCO_TH1_CYTOTOXIC_MODULE (1.80e − 08)
M600.00833MSigDB: MCLACHLAN_DENTAL_CARIES_UP (8.66e − 11)
M3490.0091MSigDB: BMP2_TARGETS_UP (0.00159)
M2640.0159MSigDB: SHEDDEN_LUNG_CANCER_GOOD_SURVIVAL (5.66e − 04)
M830.0273MSigDB: BOYLAN_MULTIPLE_MYELOMA (9.10e − 04)
M940.0284None
M3150.0913GO: cell chemotaxis (8.50e − 07)

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