Correspondence between fMRI and SNP data by group sparse canonical correlation analysis
A group sparse canonical correlation analysis (CCA) model was developed, including several sparse models as special cases. The model can overcome the difficulty of conventional CCA in analysing high dimensional data with group structures. The model is validated by studying a biologically significant problem on how genetic variations influence brain activities.
fmri snp group sparse cca feature selection imaging genetics