HDBIG-SCCA-TLP is an HDBIG toolkit focusing on Sparse Canonical Correlation Analysis (SCCA). The current version includes matlab implementation of the SCCA Model with a Truncated L1-norm Penalty. It can be applied to examine the association between genetic variations and imaging phenotypes.

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


Du L, Liu K, Zhang T, Yao X, Yan J, Risacher SL, Han J, Guo L, Saykin AJ, Shen L, for the Alzheimer’s Disease Neuroimaging Initiative. (2017) A novel SCCA approach via truncated l1-norm and its application to brain imaging genetics. Bioinformatics, 2017 Sep 18. doi: 10.1093/bioinformatics/btx594. [Epub ahead of print]