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arefks 131d565302 temp stage 7 månader sedan
..
.ipynb_checkpoints e8e54e0207 current state: code is finished for representation 9 månader sedan
AIDAmri @ 8e7f9d3597 13cb663094 added all of the code necessery 9 månader sedan
mouse_connectivity e8e54e0207 current state: code is finished for representation 9 månader sedan
Big_data_mouse_practical_2020_answer.ipynb e8e54e0207 current state: code is finished for representation 9 månader sedan
GetQuantitativeValues.py a6c636f3fb intermideiat step 7 månader sedan
README.md 13cb663094 added all of the code necessery 9 månader sedan
correlation_between_bahavior_and_DTI.py 164f8d841f intermidiate step 7 månader sedan
correlation_between_bahavior_and_DTI_anovaSpecific.py 131d565302 temp stage 7 månader sedan
heat_maps_correlation.py 164f8d841f intermidiate step 7 månader sedan
incooparate_behavior_data.py 83bbe1278b merged behavior data with quantitaitve dti values and corrolated between them with corrections 7 månader sedan
mask2MTPL.py 13cb663094 added all of the code necessery 9 månader sedan
overlayPlot.py 86fce3a119 current state: code is finished for representation 9 månader sedan
plotting_quantitative_dti_values.py 63701b1cca code ready for: mixed model analysis and the post hoc tests nad figures with their relevant outputs. also code and results ready for heatmaps of the behavioral and dwi values correlations 7 månader sedan
proof_of_modalities.py 9bcdec0ea4 added overlap percentage csv 7 månader sedan
register_masks.py 131d565302 temp stage 7 månader sedan
statsmodel_training.py 63701b1cca code ready for: mixed model analysis and the post hoc tests nad figures with their relevant outputs. also code and results ready for heatmaps of the behavioral and dwi values correlations 7 månader sedan
transpose_csv.py 63701b1cca code ready for: mixed model analysis and the post hoc tests nad figures with their relevant outputs. also code and results ready for heatmaps of the behavioral and dwi values correlations 7 månader sedan
viralTracing2MTPL.py 2e82796756 added viraltracin 2 mtpl space filp function 8 månader sedan

README.md

AIDAmri code

This is the code used to process raw Bruker data and to apply transformations from the drawn masks to each individual subject. Note that this is a subdataset linked to the GitHub page of AIDAmri.

The link to the exact branch of the code which was used for this process is: AIDAmri - SND_Mask_trafu branch.

Example usage of code

root@9c22c56092e5:/aida/DATA/code# python mask2MTPL.py -i /aida/DATA/output/Tract_Density -o /aida/DATA/output/Nifti_Tract_density_registered