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* Two 1xN one-hot encoded classification vectors that predicts sample type and treatment applied.
To run encoding, use `python train.py`. This is subject to change later when the decoder is actually operational and there is a need to distinguish the training code file names.
To run encoding, use `python train_encoder.py`. This is subject to change later when the decoder is actually operational and there is a need to distinguish the training code file names.
### Decoding
Work in progress
To run decoding, use `python decodertest.py`. This is subject to change later as this is only a "test" version of the decoder training workflow.