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arefks 132437cf05 final results 5 miesięcy temu
..
.ipynb_checkpoints e8e54e0207 current state: code is finished for representation 7 miesięcy temu
AIDAmri @ 8e7f9d3597 13cb663094 added all of the code necessery 7 miesięcy temu
mouse_connectivity e8e54e0207 current state: code is finished for representation 7 miesięcy temu
Big_data_mouse_practical_2020_answer.ipynb e8e54e0207 current state: code is finished for representation 7 miesięcy temu
GetQuantitativeValues.py a6c636f3fb intermideiat step 5 miesięcy temu
README.md 13cb663094 added all of the code necessery 7 miesięcy temu
correlation_between_bahavior_and_DTI.py 132437cf05 final results 5 miesięcy temu
correlation_between_bahavior_and_DTI_anovaSpecific.py 132437cf05 final results 5 miesięcy temu
heat_maps_correlation.py 164f8d841f intermidiate step 5 miesięcy temu
incooparate_behavior_data.py 132437cf05 final results 5 miesięcy temu
mask2MTPL.py 13cb663094 added all of the code necessery 7 miesięcy temu
overlayPlot.py 86fce3a119 current state: code is finished for representation 7 miesięcy temu
plotting_quantitative_dti_values.py 132437cf05 final results 5 miesięcy temu
proof_of_modalities.py 9bcdec0ea4 added overlap percentage csv 5 miesięcy temu
register_masks.py 131d565302 temp stage 5 miesięcy temu
remapping_voiting_qc.py 18752865ca changed voitign with script to have additional columns 5 miesięcy temu
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 5 miesięcy temu
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 5 miesięcy temu
viralTracing2MTPL.py 2e82796756 added viraltracin 2 mtpl space filp function 6 miesięcy temu

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