HDBIG-SCCA-NC is an HDBIG toolkit focusing on Sparse Canonical Correlation Analysis (SCCA). The current version includes matlab implementation of the SCCA Model with a Generic Non-convex Penalty. It can be applied to examine the association between genetic variations and imaging phenotypes.

HDBIG-SCCA-NC v1.0.0 is released: Download, Documentation (PDF)


Du L, Liu K, Yao X, Yan J, Risacher SL, Han J, Guo L, Saykin AJ, Shen L, for the ADNI. (2017) Pattern discovery in brain imaging genetics via SCCA modeling with a generic non-convex penalty. Scientific Reports, 2017 Oct 25;7(1):14052. doi: 10.1038/s41598-017-13930-y.