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A repository for Adversarial Inductive Transfer Learning with input and output space adaptation

Jupyter Notebook 78.70% Python 21.30%

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Original data files (information) missing

Dear authors @hosseinshn @ozolotareva @shumanpng, thank you very much for your new transfer learning model for input and output space adaptation. I am trying to pre-process the original data to get other data splits. For this purpose, I tried to execute AITL_submit/data/preprocess_aitl.py, but I couldn't find the original (pre-process) data from the following line:

LOAD_DATA_FROM = './data/original/'+DRUG+'/' # where the original (pre-split) data is stored

Could you please provide the contents of /data/original/ for all drugs, such as:

GDSC_exprs_z = pd.read_csv(LOAD_DATA_FROM+'exprs/GDSC_exprs.z.'+DRUG+'.tsv',

Or could you please provide the links for pre-processed files for all drugs? Thank you very much.

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