NIH Data Access Policy Yes NSF and NIH NITRC 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. 2019-6-24 gPDC 2019-6-24 LSF package 2019-6-24 TCGA_Meth_Gene 2019-6-24 JSCCA_Package Joint CCA Model for Class-specific Correlation Analysis Imaging Genomics, Computational Neuroscience, NIH Data Access Policy http://www.nitrc.org/projects/jscca_2016/