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 spar…
☆13Nov 5, 2018Updated 7 years ago
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