Victoria BOURGEAIS

add intepretation tool

1 -adj_matrix.csv
2 -first_matrix_connection_GO.csv
3 -go_level.csv
4 X_test.npz 1 X_test.npz
5 X_train.npz 2 X_train.npz
3 +filesforNNarch.zip
6 __pycache__/ 4 __pycache__/
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...@@ -20,6 +20,8 @@ The full dataset can be downloaded on ArrayExpress database under the id [E-MTAB ...@@ -20,6 +20,8 @@ The full dataset can be downloaded on ArrayExpress database under the id [E-MTAB
20 20
21 [test set](https://entrepot.ibisc.univ-evry.fr/f/057f1ffa0e6c4aab9bee/?dl=1) 21 [test set](https://entrepot.ibisc.univ-evry.fr/f/057f1ffa0e6c4aab9bee/?dl=1)
22 22
23 +Additional files for NN architecture: [filesforNNarch](https://entrepot.ibisc.univ-evry.fr/f/6f1c513798df41999b5d/?dl=1)
24 +
23 ### Usage 25 ### Usage
24 26
25 Deep GONet was achieved with the $L_{GO}$ regularization and the hyperparameter $\alpha=1e^{-2}$. 27 Deep GONet was achieved with the $L_{GO}$ regularization and the hyperparameter $\alpha=1e^{-2}$.
...@@ -81,3 +83,7 @@ Without regularization: ...@@ -81,3 +83,7 @@ Without regularization:
81 ```bash 83 ```bash
82 python DeepGONet.py --alpha=0 --EPOCHS=100 --is_training=True --display_step=5 --save=True --processing="train" 84 python DeepGONet.py --alpha=0 --EPOCHS=100 --is_training=True --display_step=5 --save=True --processing="train"
83 ``` 85 ```
86 +
87 +### Interpretation tool
88 +
89 +Please see the notebook entitled *Interpretation_tool.ipynb* to perform the biological interpretation of the results.
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...@@ -12,4 +12,5 @@ scipy==1.2.0 ...@@ -12,4 +12,5 @@ scipy==1.2.0
12 seaborn==0.9.0 12 seaborn==0.9.0
13 tensorflow==1.12.0 13 tensorflow==1.12.0
14 tensorflow-gpu==1.12.0 14 tensorflow-gpu==1.12.0
15 -tqdm==4.36.1
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15 +tqdm==4.36.1
16 +innvestigate==1.0.8
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