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. Author manuscript; available in PMC: 2021 Dec 1.
Published in final edited form as: Trends Pharmacol Sci. 2020 Nov 2;41(12):1050–1065. doi: 10.1016/j.tips.2020.10.004

Figure 1. Key Figure. Combination of Single-cell and DL models in drug sensitivity prediction.

Figure 1.

DL models are typically trained on tumor profiles, chemical and structural information of drugs and drug-target data. Extracting high-dimensional features through multi-layer perceptrons, DL models can infer drug-target interactions, purpose new drugs, and predict drug resistance.