Uno
Unified Drug Response Predictor
Model Architecture
UNO consists of two fully connected neural network branches for separately embedding the drug and cell line features, then a third fully connected neural network to regress on the combined embedded features. UNO was one of the benchmark models in the CANDLE project for cancer drug response.
Feature Representation
Cancer features:
Gene Expression: as floats
Drug features:
Drug Molecular Descriptors: mordred values as floats