unravel.voxel_stats package

• unravel.voxel_stats.apply_mask module
  • Usage:
  • Usage to zero out voxels in image where mask > 0 (e.g., to exclude voxels representing artifacts):
  • Usage to zero out voxels in image where mask < 1 (e.g., to preserve signal from segmented microglia clusters):
  • Usage to replace voxels in image with the mean intensity in the brain where mask > 0:
  • parse_args()
  • load_mask()
  • mean_intensity_in_brain()
  • dilate_mask()
  • scale_bool_to_full_res()
  • apply_mask_to_ndarray()
  • main()
• unravel.voxel_stats.vstats_prep module
  • Usage:
  • parse_args()
  • main()
• unravel.voxel_stats.z_score module
  • Usage:
  • Usage w/ an atlas mask:
  • Usage w/ a tissue mask:
  • Usage w/ both masks for side-specific z-scoring:
  • parse_args()
  • z_score()
  • tissue_mask_to_atlas_space()
  • z_score_mask()
  • main()
• unravel.voxel_stats.whole_to_LR_avg module
  • Usage:
  • parse_args()
  • whole_to_LR_avg()
  • main()
• unravel.voxel_stats.hemi_to_LR_avg module
  • Usage:
  • parse_args()
  • hemi_to_LR_avg()
  • main()
• unravel.voxel_stats.vstats module
  • Usage:
  • Usage w/ additional options:
  • parse_args()
  • check_fdr_command()
  • create_design_ttest2()
  • get_groups_info()
  • calculate_fragments()
  • run_randomise_parallel()
  • main()
• unravel.voxel_stats.mirror module
  • Usage:
  • parse_args()
  • mirror()
  • main()
• unravel.voxel_stats.other package
  • unravel.voxel_stats.other.IF_outliers module
    • Usage:
    • parse_args()
    • mean_intensity_within_mask()
    • detect_outliers()
    • main()
  • unravel.voxel_stats.other.r_to_p module
    • Usage:
    • parse_args()
    • r_to_z()
    • z_to_p()
    • main()