Joint CCA Model for Class-specific Correlation Analysis

JSCCA method estimates multiple pairs of canonical vectors with both shared and class-specific patterns, detecting abnormal interaction modules between genomic variants and brain activities.

Matlab codes and examples for JSCCA, joint detection of the associations between DNA methylation and gene expression from multiple cancers, learning with selected features, greedy projected distance correlation have been given below.

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CCA method

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