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Zhang and colleagues perform systematic multiomics and functional integration of cell-surface proteins and develop a comprehensive catalog of cell-surface actionable targets across cancer, with a practical web platform to explore these data.
Ma et al. apply few-shot learning to train a neural network model on cell-line drug-response data, and they subsequently transfer it to distinct biological contexts including different tissues and patient-derived tumor cells and xenografts.