Example data used in tutorial of HEIG

The repository contains example data used in tutorial of HEIG. HEIG is a statistical framework for efficiently conducting joint analysis for large-scale imaging and genetic data. The dataset has the following file structures: input images: 1000 simulated images misc: miscellaneous files ldr_sumstats: 19 LDR GWAS summary statistic files of the superior fronto-occipital fasciculus ldmatrix8580: LD matrices with regularization {85%,80%}, including ~460,000 genotype array SNPs ldmatrix7570: LD matrices with regularization {75%,70%}, including ~460,000 genotype array SNPs visualization: example files for visualization output herigc: results of heritability and (cross-trait) genetic correlation analysis images: preprocessed 1000 images ldr: LDRs constructed from 1000 images sumstats: preprocessed 19 LDR GWAS summary statistic files of the superior fronto-occipital fasciculus visualization: visualization results voxelgwas: voxel-level GWAS results