TimeSCCAN(1)
part of ANTS registration suite
DESCRIPTION
COMMAND:
-
TimeSCCAN
-
A tool for sparse statistical analysis on connectivity within a subject :
OPTIONS:
-
-h
-
- Print the help menu (short version).
-
--help
-
- Print the help menu (long version).
<VALUES>: 1
-
-o, --output outputImage
-
- Output is a 2D correlation matrix.
-
-l, --number-consecutive-labels 0
-
- Number of consecutive labels in data
-
-R, --minimum-region-size 1
-
- Minimum size of a region: regions below this size are given a 0.0 connectivity
value
-
-i, --iterations 20
-
- Number of iterations
-
-s, --sparsity 0.10
-
- Sparsity - a float from (0,1] indicating what fraction of the data to use
-
-n, --n_eigenvectors 2
-
- Number of permutations to use in scca.
-
-r, --robustify 0
-
- rank-based scca
-
-l, --l1 0
-
- use l1 ( > 0 ) or l0 ( < 0 ) penalty, also sets gradient step size e.g. -l 0.5 (
L1 ) , -l -0.5 (L0) will set 0.5 grad descent step for either penalty
-
--ClusterThresh 1
-
- cluster threshold on view P
-
-e, --ridge_cca 0
-
- Number of permutations to use in scca.
-
--partial-scca-option PminusRQ
-
- Choices for pscca: PQ, PminusRQ, PQminusR, PminusRQminusR
-
--timeseriesimage-to-matrix [four_d_image.nii.gz,three_d_mask.nii.gz]
-
- takes a timeseries (4D) image and converts it to a 2D matrix csv format as
output.If the mask has multiple labels ( more the one ) then the average time
series in each label will be computed and put in the csv.
-
--labelsimage-to-matrix [three_d_mask.nii.gz]
-
- takes a labeled (3D) image and converts it to a 2D matrix csv format as output.
-
--network scca[time-matrix.mhd,label-matrix.mhd]
-
- region-averaging[time-matrix.mhd,label-matrix.mhd]
-
Build the network connectivity matrix