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Group sparse Canonical Correlation Analysis

Welcome!
Group sparse Canonical Correlation Analysis (group sparse CCA) is a method designed to study the mutual
relationship between two different types of data (i.e. SNP and gene expression). More information about method and algorithm can be seen from: 

Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Vince D. Calhoun, Hong-Wen Deng, Yu-Ping Wang: Group sparse canonical correlation analysis for genomic data integration. BMC Bioinformatics 14: 245 (2013)
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SCCA_sGrpLR.m
(3k)
dongdong Lin,
Mar 5, 2014, 1:58 PM
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SoftThreshold.m
(0k)
dongdong Lin,
Mar 5, 2014, 1:45 PM
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normalize.m
(0k)
dongdong Lin,
Mar 5, 2014, 1:45 PM
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