A Six-Gene Signature Predicts Survival of Adenocarcinoma Type of Non-Small-Cell Lung Cancer Patients: A Comprehensive Study Based on Integrated Analysis and Weighted Gene Coexpression Network

Table 2

Quality control of the training datasets.

No.	Datasets	IQC	EQC	CQCg	CQCp	AQCg	AQCp	Rank
1	GSE19188	8.56	2	307.65	160.1	0.79	54.72	2.33
2	GSE30219	4.43	2	307.65	182.57	0.76	71.49	2.58
3	GSE10072	9.76	2	307.65	178.14	0.14	49.61	3.67
4	GSE7670	6.48	1.7	307.65	133.26	0.2	43.06	4.75
5	GSE2514	3.66	1.53	307.65	111.14	0.4	22.46	5.67
6	GSE32863	5.73	1.7	307.65	63.92	0.08	32.71	5.75
7	GSE21933	4.43	1	307.65	52.67	0.37	23.99	6.08
8	GSE40275	3.96	1.53	8.68	34.36	0.29	21.19	7.50
9	GSE12472	0.24	1.53	7.06	44.83	0.32	12.49	8.33
10	GSE80796	2.08	1.05	0.27	2.32	0.28	1.38	10.00
11	GSE8500	3.51	0.4	0.38	4.02	0.26	0.06	10.67
12	GSE85841	0.04	0.62	0.71	0.31	0.04	0.26	11.67
13	GSE19027	1.35	0.39	0	7.83	0.03	0.24	12.00

NSCLC, non-smal-cell lung carcinoma; GSE, GEO dataset; IQC, internal quality control indexes; EQC, external quality control indexes; CQCg and CQCp, consistency of differential expression quality control indexes for genes and pathways; AQCg and AQCp, accuracy quality control indexes for genes and pathways. value not significant after Bonferroni correction.