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Table 1 The computational complexities of all 3 DF methods used in this study

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

Method

Complexity

CCA

φ!

RCCA

vnφ!

SRCCA

vφ!

  1. φ = min{p, q}, which represents the number of features in the lower dimensional modality, n is the sample size and v is the interval spacing over which λ1 and λ2 will be chosen in the range {θ1, θ2}.
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BMC Bioinformatics

ISSN: 1471-2105

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