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pipeline_gdsc_beat_aml.sh
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#python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 10 -train_mode drug_repurposing
#python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 50 -train_mode drug_repurposing
#python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 100 -train_mode drug_repurposing
#python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 500 -train_mode drug_repurposing
#python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 1000 -train_mode drug_repurposing
#python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 5000 -train_mode drug_repurposing
#python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 10000 -train_mode drug_repurposing
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 10 -train_mode precision_oncology -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 50 -train_mode precision_oncology -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 100 -train_mode precision_oncology -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 500 -train_mode precision_oncology -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 1000 -train_mode precision_oncology -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 5000 -train_mode precision_oncology -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 10000 -train_mode precision_oncology -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 0 -train_mode precision_oncology -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 10 -train_mode drug_development -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 50 -train_mode drug_development -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 100 -train_mode drug_development -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 500 -train_mode drug_development -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 1000 -train_mode drug_development -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 5000 -train_mode drug_development -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 10000 -train_mode drug_development -flag_redo False
python transfer_learning_pipeline.py -GPU 2 -source gdsc -target beat_aml -use_samples 0 -train_mode drug_development -flag_redo False