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This would be a non-trivial task because the current DCell model was trained on yeast. You would need to train a new DCell model using data in human cells.
Prepare an ontology file to restrict the neural network structure. The file needs to have the same format as the example.
Prepare a gene list to represent the gene deletions. Currently for memory issue, we only allow binary output. If you have any special real value input, please send me the file and I can help to adjust the code.
Tune the hyper-parameters based on your data.
Need some outside data to validate the state learned for each term as shown in the paper.
what would be the recommended way to move the "dna repair" demo from yeast to human?
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