================= 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 URLs -------------------- - `Original GitHub `__