A Bayesian group sparse multi-task regression model for imaging genetics
A Bayesian group sparse multi-task regression model for imaging genetics
Recent advances in technology for brain imaging and high-throughput genotyping have motivated studies examining the influence of genetic variation on brain structure. Wang et al. have developed an approach for the analysis of imaging genomic studies using penalized multi-task regression with regularization based on a novel group l2,1-norm penalty which …