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

Table 7 Experiment 3: Maximum ϕ^KNNand ϕ^RFof DF schemes across d ∈ {1, 2, ..10}

Classifier	PCA	PLS	CCA	RCCA	SRCCA_TT	SRCCA_WRST	SRCCA_WLT
ϕ ^KNN	84.21%	84.21%	73.68%	68.42%	84.21%	84.21%	84.21%
ϕ ^RF	84.21%	84.21%	80.20%	68.42%	91.05%	88.95%	93.16%

Maximum classification accuracies obtained for fusing (ϕ^P, ϕ^M), (ϕ^P, ϕ^A), and (ϕ^P, ϕ^H), with PCA, PLSR, CCA, RCCA, SRCCA_TT, SRCCA_WRST, and SRCCA_WLT across d ∈ {1, 2, ..10} components, using two classifiers, ϕ^KNN, with K = 1, and ϕ^RF, with 50 trees, and leave-one-out validation to identify patients at the risk of biochemical recurrence from those who are not.

ISSN: 1471-2105