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Table 1 Correlations and the number of features from three pairs of loading vectors

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