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/