Machine Learning-based Metabolic Profiling of in vitro Maturation Medium from Patients with Polycystic Ovary Syndrome

This dataset contains metabolic profiling data obtained from the in vitro maturation (IVM) medium of patients with polycystic ovary syndrome (PCOS). The data were analyzed using machine learning techniques to identify key metabolic signatures. The dataset is provided in Excel format and includes detailed metabolite concentrations, sample IDs, and relevant annotations for further analysis.

本数据集包含源自多囊卵巢综合征（polycystic ovary syndrome，PCOS）患者体外成熟（in vitro maturation，IVM）培养基的代谢谱分析数据。研究团队采用机器学习技术对该数据进行分析，以识别关键代谢特征标记。该数据集以Excel格式提供，包含详细的代谢物浓度数据、样本编号以及可供后续分析使用的相关注释信息。