CELLFORGE是一种利用多智能体框架来自动设计和优化虚拟细胞计算模型的系统。该系统通过任务分析、方法设计和实验执行三个核心模块，将原始单细胞多组学数据和研究目标转化为优化的模型架构和可执行代码。任务分析模块负责数据特征提取和文献检索，方法设计模块中的专家代理通过协作讨论开发建模策略，实验执行模块则自动生成训练和推理代码。CELLFORGE在预测基因敲除、药物处理和细胞因子刺激等多种扰动下的细胞反应方面，表现优于现有技术，显著降低了预测误差并提高了相关性指标，展现了大型语言模型（LLMs）代理迭代交互在解决复杂建模挑战中的优势。References: Tang X, Yu Z, Chen J, et al. CellForge: Agentic Design of Virtual Cell Models[J]. arXiv preprint arXiv:2508.02276, 2025.
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