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lipi12q / TranscriptionNet

TranscriptionNet is an attention-based deep learning algorithm that integrates various large-scale gene function network information to predict changes in induced gene expression (GECs) by perturbing each gene in the genome.
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error problem #2

Open myseverus opened 1 month ago

myseverus commented 1 month ago

Traceback (most recent call last): File "C:\anaconda\envs\mdformer\lib\site-packages\pandas\core\indexes\base.py", line 3802, in get_loc return self._engine.get_loc(casted_key) File "pandas_libs\index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc File "pandas_libs\index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc File "pandas_libs\hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas_libs\hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 0

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "C:/Users/20825/Desktop/bioinformations/TranscriptionNet-main/example_run.py", line 28, in RNAi_pre_GECs = run_model(num_layers=config.FunDNN_layers, File "C:\Users\20825\Desktop\bioinformations\TranscriptionNet-main\FunDNN\Model.py", line 85, in run_model test_evaluate(best_model, feature_test, gecs_test) File "C:\Users\20825\Desktop\bioinformations\TranscriptionNet-main\FunDNN\train_function.py", line 112, in test_evaluate pearson = np.corrcoef(feature_test_predict[i], gecs_test[i])[0, 1] File "C:\anaconda\envs\mdformer\lib\site-packages\pandas\core\frame.py", line 3807, in getitem indexer = self.columns.get_loc(key) File "C:\anaconda\envs\mdformer\lib\site-packages\pandas\core\indexes\base.py", line 3804, in get_loc raise KeyError(key) from err KeyError: 0 Hi！This error was generated at the end of the run example_run.py,how to resolve the problem? thank you.

lipi12q commented 1 month ago

Hello, I have carefully checked the code, there is no problem with the code, you can check whether it is a problem with the data set. We will communicate if there is any problem later!