Example data used in tutorial of HEIG (v1.2.0)

The repository contains example data used in tutorial of HEIG v1.2.0. Note, this data is not compatible with v1.0.0, and some options are supported in v1.1.0. 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 images1: 500 simulated images images2: 500 simulated images genotype: genotype data in PLINK bfile misc: miscellaneous files ldr_sumstats: 19 LDR GWAS summary statistic files of the superior fronto-occipital fasciculus ld_regu8580: LD matrices with regularization {85%,80%}, including ~460,000 genotype array SNPs ld_regu7570: LD matrices with regularization {75%,70%}, including ~460,000 genotype array SNPs visualization: example files for visualization output fpca: results of functional PCA genotype: hail.MatrixTable of genotype data gwas: LDR GWAS results generated by HEIG herigc: results of heritability and (cross-trait) genetic correlation analysis images: preprocessed 1000 images in H5DF file 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 The results in ouput are produced by data in input, which can verify if the user runs the code correctly.