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Figure 2 | BMC Bioinformatics

Figure 2

From: Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery

Figure 2

2-dimensional representation of ( Ï•P, Ï•A). 2-dimensional representation of (Ï•P, Ï•A) using (a) CCA, (b) RCCA, (c) SRCCA TT , (d) SRCCA WRST and (e) SRCCA WLT where the X and Y axes are the two most significant embedding components produced by the 3 different algorithms. CCA (a) suffers from lack of regularization, RCCA (b) is regularized but does not produce the best metaspace while the three variations of SRCCA (c)(d)(e) result in the best embedding components in terms of classification accuracy distinguished via best fit ellipses with one outlier.

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BMC Bioinformatics

ISSN: 1471-2105

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