Table 4.

AUC performance for the CPTAC colon cancer data using NNMF for unimodal data and Adaptive Multiview NNMF method for multimodal data (top 50-60 components and 3764 genes).

CPTAC colon cancer	Tumor stage	Residual tumor	≥1 y	≥2 y	≥3 y
Copy number (CN)	0.67 (0.01)	0.78 (0.02)	0.67 (0.01)	0.70 (0.03)	0.79 (0.04)
Transcript (T) level	0.67 (0.01)	0.76 (0.03)	0.68 (0.01)	0.70 (0.03)	0.78 (0.03)
Protein (P) level	0.72 (0.02) *	0.82 (0.02) *	0.67 (0.02)	0.70 (0.03)	0.79 (0.03)
CN, T	0.68 (0.02)	0.66 (0.03)	0.66 (0.01)	0.69 (0.01)	0.79 (0.02)
CN, P	0.71 (0.02)	0.72 (0.03)	0.66 (0.01)	0.69 (0.01)	0.79(0.03)
GE, P	0.71 (0.02)	0.73 (0.03)	0.67 (0.02)	0.69 (0.02)	0.79 (0.02)
CN, T, P	0.71 (0.02)	0.71 (0.03)	0.66 (0.01)	0.69 (0.02)	0.76 (0.02)

Abbreviations: AUC indicates area under receiver operating characteristic curve; CPTAC, Clinical Proteomic Tumor Analysis Consortium; NNMF, nonnegative matrix factorization algorithm.

Bold values indicate the best unimodal performance. The numbers in parentheses indicate standard error.

^*P < .05.