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A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction
The model combines data for SMILES string representations of anti-cancer drugs, their inhibition profiles against a panel of protein kinases, cell lines biological features and measurements of the sensitivity of the cell lines to the drugs.
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