Supervised Wavelet Method to Predict Patient Survival from Gene Expression Data

Table 1

Performance of different Cox models for simulated dataset.

# Gene	Method	C index ± se	CPE ± se	±  se	LR ± se	IBS ± se
40	Supervised wavelet	0.924 ± 0.002	0.904 ± 0.003	0.766 ± 0.006	96.906 ± 1.729	0.153 ± 0.000
	Supervised PCA	0.907 ± 0.002	0.850 ± 0.003	0.709 ± 0.003	81.564 ± 0.700	0.153 ± 0.000
	Supervised PLS	0.919 ± 0.005	0.865 ± 0.005	0.739 ± 0.005	89.083 ± 1.311	0.155 ± 0.000
30	Supervised wavelet	0.914 ± 0.002	0.877 ± 0.004	0.720 ± 0.009	83.313 ± 2.284	0.150 ± 0.000
	Supervised PCA	0.897 ± 0.003	0.842 ± 0.014	0.684 ± 0.007	76.448 ± 1.410	0.151 ± 0.004
	Supervised PLS	0.910 ± 0.003	0.853 ± 0.016	0.711 ± 0.008	82.436 ± 1.791	0.151 ± 0.004
20	Supervised wavelet	0.899 ± 0.006	0.837 ± 0.030	0.682 ± 0.005	72.253 ± 2.233	0.153 ± 0.003
	Supervised PCA	0.886 ± 0.004	0.827 ± 0.025	0.648 ± 0.009	69.357 ± 1.873	0.154 ± 0.004
	Supervised PLS	0.895 ± 0.003	0.835 ± 0.027	0.669 ± 0.011	73.691 ± 2.273	0.154 ± 0.003
10	Supervised wavelet	0.870 ± 0.006	0.823 ± 0.023	0.618 ± 0.013	65.800 ± 1.419	0.154 ± 0.004
	Supervised PCA	0.855 ± 0.011	0.810 ± 0.002	0.582 ± 0.008	58.072 ± 1.845	0.154 ± 0.003
	Supervised PLS	0.866 ± 0.009	0.818 ± 0.001	0.609 ± 0.009	62.484 ± 1.767	0.156 ± 0.003