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arefks 132437cf05 final results 7 mesiacov pred
..
.ipynb_checkpoints e8e54e0207 current state: code is finished for representation 9 mesiacov pred
AIDAmri @ 8e7f9d3597 13cb663094 added all of the code necessery 9 mesiacov pred
mouse_connectivity e8e54e0207 current state: code is finished for representation 9 mesiacov pred
Big_data_mouse_practical_2020_answer.ipynb e8e54e0207 current state: code is finished for representation 9 mesiacov pred
GetQuantitativeValues.py a6c636f3fb intermideiat step 7 mesiacov pred
README.md 13cb663094 added all of the code necessery 9 mesiacov pred
correlation_between_bahavior_and_DTI.py 132437cf05 final results 7 mesiacov pred
correlation_between_bahavior_and_DTI_anovaSpecific.py 132437cf05 final results 7 mesiacov pred
heat_maps_correlation.py 164f8d841f intermidiate step 7 mesiacov pred
incooparate_behavior_data.py 132437cf05 final results 7 mesiacov pred
mask2MTPL.py 13cb663094 added all of the code necessery 9 mesiacov pred
overlayPlot.py 86fce3a119 current state: code is finished for representation 9 mesiacov pred
plotting_quantitative_dti_values.py 132437cf05 final results 7 mesiacov pred
proof_of_modalities.py 9bcdec0ea4 added overlap percentage csv 7 mesiacov pred
register_masks.py 131d565302 temp stage 7 mesiacov pred
remapping_voiting_qc.py 18752865ca changed voitign with script to have additional columns 7 mesiacov pred
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 mesiacov pred
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 mesiacov pred
viralTracing2MTPL.py 2e82796756 added viraltracin 2 mtpl space filp function 8 mesiacov pred

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