Multi-objective optimization model of cancer metabolism

List of files:1. Pareto_Solutions.csv: Pareto solutions (i.e. metabolic flux configurations with Pareto optimality in maximizing ATP or biomass production and minimizing enzyme abundance or carbon uptake) sampled for the multi-objective optimization model for cancer metabolism. 42,930 solutions in total.2. GSMM.xlsx: Information about the genome-scale metabolic model.3. Monotonousness_Scores.xlsx: Monotonousness scores related to proliferation or the Warburg effect for all metabolic enzymes included in the model.4. Targets_Information.xlsx: Information about the model-predicted targets.5. Survival_Analysis_Complete.xlsx: Complete results of the survival analysis for metabolic genes.

数据集文件列表如下：
1. Pareto_Solutions.csv：帕累托解文件，包含针对癌症代谢多目标优化模型采样得到的帕累托最优代谢通量配置（可同时最大化三磷酸腺苷（ATP）或生物量生成，并最小化酶丰度或碳摄取），共计42930组解。
2. GSMM.xlsx：基因组规模代谢模型（genome-scale metabolic model, GSMM）相关信息文件。
3. Monotonousness_Scores.xlsx：包含模型所纳入的所有代谢酶的、与细胞增殖或瓦博格效应（Warburg effect）相关的单调性评分文件。
4. Targets_Information.xlsx：模型预测得到的靶点相关信息文件。
5. Survival_Analysis_Complete.xlsx：代谢基因完整生存分析结果文件。