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The codes for paper "Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds".

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Domain-Adversarial

The codes for paper "Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds".

About data

Because of limitation of file size, the data files cannot be uploaded to this repository. If anyone wants to run this code, please download the L1000 datasets from https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92742. Anyone can download this datasets and preprocess it as described in the papers, or access https://pan.baidu.com/s/1FSWEjpbuIT9Tqfs0J7yGwA&shfl=sharepset for getting datasets directly. If there is any more question about dataset, please feel free to contact one of authors Song He.

How to run?

Just run command "sh run.sh". The result information will be saved in "./info.txt". If you need any information about command line arguments, please run "python main.py".

Thanks!

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The codes for paper "Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds".

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