Supervised Wavelet Method to Predict Patient Survival from Gene Expression Data

Table 3

Performance of different Cox models for lung cancer dataset.

# Gene	Method	C index ± se	CPE ± se	±  se	LR ± se	IBS ± se
20	Supervised wavelet	0.923 ± 0.005	0.876 ± 0.007	0.582 ± 0.014	54.986 ± 2.130	0.328 ± 0.015
	Supervised PCA	0.892 ± 0.003	0.796 ± 0.010	0.471 ± 0.014	38.609 ± 1.637	0.353 ± 0.009
	Supervised PLS	0.909 ± 0.005	0.801 ± 0.005	0.498 ± 0.008	40.77 ± 1.439	0.365 ± 0.011
15	Supervised wavelet	0.905 ± 0.004	0.846 ± 0.005	0.531 ± 0.007	45.466 ± 1.838	0.343 ± 0.007
	Supervised PCA	0.894 ± 0.003	0.801 ± 0.007	0.469 ± 0.010	38.263 ± 1.678	0.349 ± 0.007
	Supervised PLS	0.900 ± 0.002	0.803 ± 0.005	0.483 ± 0.008	39.954 ± 1.382	0.353 ± 0.009
10	Supervised wavelet	0.889 ± 0.006	0.813 ± 0.006	0.462 ± 0.018	38.357 ± 1.641	0.330 ± 0.010
	Supervised PCA	0.878 ± 0.005	0.784 ± 0.009	0.441 ± 0.008	34.217 ± 1.671	0.335 ± 0.008
	Supervised PLS	0.885 ± 0.003	0.788 ± 0.004	0.448 ± 0.007	36.087 ± 1.356	0.350 ± 0.007
5	Supervised wavelet	0.873 ± 0.006	0.795 ± 0.005	0.429 ± 0.001	31.906 ± 1.786	0.297 ± 0.007
	Supervised PCA	0.853 ± 0.005	0.775 ± 0.006	0.387 ± 0.012	29.241 ± 1.784	0.315 ± 0.006
	Supervised PLS	0.858 ± 0.005	0.771 ± 0.006	0.386 ± 0.010	29.650 ± 1.313	0.323 ± 0.006