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This will train and tune a neural network and an elastic net model on a subset of gene expression features and drug fingerprint features to predict IC50 values of the GDSC1 database. It will evaluate in "LCO" which is the leave-cell-line-out splitting strategy using 5 fold cross validation.
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This will train and tune a neural network and an elastic net model on gene expression features and drug fingerprint
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features to predict IC50 values of the GDSC2 database. It will evaluate in "LCO" which is the leave-cell-line-out
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