BMC Systems Biology

Table 1 5-fold cross-validation results on synthetic data

From: Structured sparse CCA for brain imaging genetics via graph OSCAR

Training results
Methods			Dataset 1			MEAN			Dataset 2			MEAN			Dataset 3			MEAN			Dataset 4			MEAN	AVG.
L1-SCCA	0.52	0.56	0.52	0.53	0.51	0.53	0.25	0.29	0.16	0.20	0.23	0.23	0.56	0.24	0.57	0.53	0.52	0.48	0.46	0.50	0.53	0.48	0.35	0.46	0.43
FL-SCCA	0.52	0.60	0.52	0.53	0.50	0.53	NaN	NaN	0.17	NaN	0.23	0.08	0.63	0.43	0.56	0.55	0.55	0.54	0.51	0.56	NaN	0.53	0.40	0.40	0.39
KG-SCCA	0.52	0.55	0.52	0.53	0.53	0.53	0.25	0.29	0.15	0.20	0.22	0.22	0.56	0.24	0.43	0.52	0.52	0.45	0.51	0.56	0.48	0.52	0.40	0.49	0.42
GOSC-SCCA	0.57	0.62	0.57	0.59	0.63	0.60	0.26	0.30	0.15	0.21	0.17	0.22	0.64	0.31	0.42	0.61	0.59	0.51	0.51	0.56	0.55	0.54	0.41	0.52	0.46
Testing results
L1-SCCA	0.57	0.43	0.58	0.49	0.59	0.53	0.00	0.21	0.32	0.17	0.08	0.16	0.36	0.20	0.37	0.49	0.46	0.38	0.45	0.29	0.20	0.40	0.67	0.40	0.37
FL-SCCA	0.56	0.38	0.57	0.49	0.59	0.52	NaN	NaN	0.48	NaN	0.08	0.11	0.30	0.80	0.36	0.51	0.41	0.47	0.55	0.30	NaN	0.46	0.72	0.40	0.38
KG-SCCA	0.56	0.43	0.57	0.49	0.58	0.53	0.00	0.21	0.31	0.18	0.07	0.15	0.37	0.20	0.45	0.50	0.45	0.39	0.52	0.29	0.34	0.46	0.71	0.46	0.38
GOSC-SCCA	0.73	0.39	0.68	0.56	0.45	0.56	0.02	0.09	0.57	0.20	0.38	0.25	0.23	0.18	0.43	0.44	0.43	0.34	0.53	0.31	0.31	0.36	0.72	0.45	0.40

The estimated correlation coefficients and their MEAN are shown. ’NaN’ means a method fails to estimate a pair of canonical loadings. ’0.00’ means a very small correlation coefficients. ’AVG.’ denotes the MEAN across all four datasets. The best values and those that are NOT significantly worse than the best ones (t-test with p-value smaller than 0.05) are shown in bold

Back to article page

ISSN: 1752-0509

Contact us

General enquiries: ORSupport@springernature.com