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论文题名： Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells
期刊与年份： Cancer Cell，2020。论文原文。
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论文题名： Biologically informed deep neural network for prostate cancer discovery
期刊与年份： Nature，2021。论文原文。
范围为正文全部编号主图及其子图，包含流程示意图。Exten ...
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论文题名： Predicting cellular responses to perturbation across diverse contexts with State
期刊与年份： Cell，2026。论文原文。
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论文题名： Disentanglement of single-cell data with biolord
期刊与年份： Nature Biotechnology，2024。论文原文。
范围为正文全部编号主图及其子图，包含流程示意图。Extended Data ...
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论文题名： Predicting cellular responses to complex perturbations in high-throughput screens
期刊与年份： Molecular Systems Biology，2023。论文原文。
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论文题名： Large-scale foundation model on single-cell transcriptomics
期刊与年份： Nature Methods，2024。论文原文。
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论文题名： scGPT: toward building a foundation model for single-cell multi-omics using generative AI
期刊与年份： Nature Methods，2024。论文原文。
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论文题名： Predicting transcriptional outcomes of novel multigene perturbations with GEARS
期刊与年份： Nature Biotechnology，2024。论文原文。
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论文题名： Transfer learning enables predictions in network biology
期刊与年份： Nature，2023。论文原文。
范围为正文全部编号主图及其子图，包含流程示意图。Extended Data 和 Supp ...
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论文题名： scGen predicts single-cell perturbation responses
期刊与年份： Nature Methods，2019。论文原文。
范围为正文全部编号主图及其子图，包含流程示意图。Extended Data 和 Sup ...
