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Table 2 Redundancy coefficients for tuning data.

From: Integrative analysis of gene expression and copy number alterations using canonical correlation analysis

Method

Redundancy coefficients

 

R x|y

R y|x

R x|x

R y|y

Optimally regularized dual CCA

(0.168, 0.038)

(0.030, 0.035)

(0.168, 0.038)

(0.030, 0.035)

Fully regularized dual CCA

(0.051, 0.008)

(0.029, 0.050)

(0.199, 0.094)

(0.237, 0.278)

Non-regularized dual CCA

(0.004, 0.005)

(0.009, 0.004)

(0.004, 0.005)

(0.009, 0.004)

PCA+CCA

(0.131, 0.028)

(0.026, 0.031)

(0.153, 0.043)

(0.030, 0.049)

PCA

(0.008, 0.021)

(0.023, 0.011)

(0.202, 0.065)

(0.291, 0.053)

*Sparse CCA [21]

(0.126, 0.018)

(0.026, 0.040)

(0.172, 0.093)

(0.040, 0.253)

*Optimally regularized dual CCA

(0.153, 0.038)

(0.031, 0.038)

(0.154, 0.038)

(0.031, 0.038)

  1. Redundancy coefficients for the tuning data set, for the different methods applied in this paper. The redundancy coefficients for methods indicated by * are calculated using a subset of the gene expression and copy number variables.