From: Group sparse canonical correlation analysis for genomic data integration
Data set | Model | dim1 | dim2 | dim3 | p(dim1) | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|
corr. | No.(u) | No.(v) | corr. | No. | No. | corr. | No. | No. | |||
Glioma | CCA-group | 0.3036 | 103 | 113 | 0.3675 | 153 | 93 | 0.3501 | 110 | 104 | 0.0005 |
CCA-l1 | 0.5362 | 72 | 78 | 0.6884 | 83 | 76 | 0.5743 | 78 | 82 | <0.0001 | |
CCA-sparse group | 0.5903 | 53 | 47 | 0.7023 | 41 | 61 | 0.5728 | 67 | 60 | <0.0001 | |
NCI60 | CCA-group | 0.8425 | 189 | 184 | 0.8943 | 100 | 125 | 0.8310 | 125 | 115 | <0.0001 |
CCA-l1 | 0.9645 | 100 | 171 | 0.9527 | 67 | 120 | 0.9495 | 131 | 88 | <0.0001 | |
 | CCA-sparse group | 0.9649 | 45 | 71 | 0.9633 | 66 | 109 | 0.9355 | 97 | 108 | <0.0001 |