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And extending to work with coderdata. then we can evaluate:
1- cancer blind splits
2- effects of balanced splits
3- ability to predict organoid response
then we can compare with the deep learning models.
The text was updated successfully, but these errors were encountered:
This is filed as a documentation bug for now. We have a notebook for the linear models but need more summary statistics to really showcase the predictive capability across all drugs.
I'd recommend starting with this code base: https://github.com/PNNL-CompBio/BeatAMLproteomics/blob/main/pybeataml/run_models.ipynb
And extending to work with coderdata. then we can evaluate:
1- cancer blind splits
2- effects of balanced splits
3- ability to predict organoid response
then we can compare with the deep learning models.
The text was updated successfully, but these errors were encountered: