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.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
914midbrain-singlepca.py
914midbrain-singlepca.py
 
 
Bayes.png
Bayes.png
 
 
FactorAna-face.png
FactorAna-face.png
 
 
FastICA-face.png
FastICA-face.png
 
 
Naive Bayes model CV(10) in fitting whole_brain PCA feature vector not selected.png
Naive Bayes model CV(10) in fitting whole_brain PCA feature vector not selected.png
 
 
README.md
README.md
 
 
Random Forest model CV(10) in fitting gong_block PCA feature vector after feature selection.png
Random Forest model CV(10) in fitting gong_block PCA feature vector after feature selection.png
 
 
Random Forest(1000) model CV(10) in fitting midbrain_block PCA feature vector after feature selection(100).png
Random Forest(1000) model CV(10) in fitting midbrain_block PCA feature vector after feature selection(100).png
 
 
center-midbrain.png
center-midbrain.png
 
 
fa_sklearn.py
fa_sklearn.py
 
 
fa_sklearn_svc.py
fa_sklearn_svc.py
 
 
fliter-pca-brain.png
fliter-pca-brain.png
 
 
fliter-pca-face.png
fliter-pca-face.png
 
 
get_all_brain_zhibiao.py
get_all_brain_zhibiao.py
 
 
knn_estimator.png
knn_estimator.png
 
 
mid_pcamodel.py
mid_pcamodel.py
 
 
midbrain-pca.py
midbrain-pca.py
 
 
midbrain-singlepca.py
midbrain-singlepca.py
 
 
midbrain-singlepca_gong.py
midbrain-singlepca_gong.py
 
 
midbrain-singlepca_shiyan1.py
midbrain-singlepca_shiyan1.py
 
 
niwe.nii.gz
niwe.nii.gz
 
 
origial-midbrain.png
origial-midbrain.png
 
 
originface.png
originface.png
 
 
out-PCA-FA.png
out-PCA-FA.png
 
 
out-pca-MD.png
out-pca-MD.png
 
 
pca-face.png
pca-face.png
 
 
pca-face.txt
pca-face.txt
 
 
pca-midbrain.png
pca-midbrain.png
 
 
plot_extract_rois_smith_atlas.py
plot_extract_rois_smith_atlas.py
 
 
plot_faces_decomposition.py
plot_faces_decomposition.py
 
 
plot_faces_pca.py
plot_faces_pca.py
 
 
random_forest.png
random_forest.png
 
 
random_tree.png
random_tree.png
 
 
three dimension.py
three dimension.py
 
 
through_label_sl.py
through_label_sl.py
 
 
use-pcamodel.py
use-pcamodel.py
 
 
whole_brain-singlepca.py
whole_brain-singlepca.py
 
 
whole_brain-singlepca_shiyan1.py
whole_brain-singlepca_shiyan1.py
 
 
人脸结果
人脸结果
 
 
减去特征--差异性图.png
减去特征--差异性图.png
 
 
思路.md
思路.md
 
 
新建文本文档.txt
新建文本文档.txt
 
 
红色差异.png
红色差异.png
 
 
重构的第二个图.png
重构的第二个图.png
 
 

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useMLtoPredictPD_dMRI

dMRI data on whole brain or ROI do the feature selection and get the Machine Learning model have CV validation and predicting rate over 80%

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dMRI data on whole brain or ROI do the feature selection and get the Machine Learning model have CV validation and predicting rate over 80%

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