Multiscale Flux Balance Analysis: Bridging Multi-Omics and Single-Cell Data for Therapy Response Prediction in Hormone Receptor-Positive Breast Cancer

The data folder contains the data files that were used in the tutorial "Multiscale Flux Balance Analysis: Bridging Multi-Omics and Single-Cell Data for Therapy Response Prediction in Hormone Receptor-Positive Breast Cancer". Raw data can be downloaded at: GEO Accession: GSE300475Folder 1- H5AD Files: The folder contains the AnnData objects of raw and preprocessed transcriptomic datagene_expression_annotated.h5ad: This file contains the combined raw gene expression data of all samples, with cells annotated by Patient ID and Treatment Response Labels.gene_expression_processed1.h5ad: This file contains the preprocessed data after performing quality control and removing doublets.Folder 2- CSV Files: The folder contains All .csv files used for the tutorial, including:hvg_genes.csv: List of highly variable genes used for feature selectiontranscriptomic_features.csv: Transcriptomic feature matrix (samples × genes)fluxomic_features.csv: Flux-based feature matrix (samples × reactions)metadata.csv: Sample-level metadata with response labels (Responder / Non-responder)The tutorial code is available at: Occhipinti-Lab/HRplus-BC-Multimodal: Multiscale Flux Balance Analysis: Bridging Multi-Omics and Single-Cell Data

本数据集文件夹包含教程《多尺度通量平衡分析：桥接多组学与单细胞数据以预测激素受体阳性乳腺癌的治疗响应》中所使用的全部数据文件。原始数据可通过以下GEO（Gene Expression Omnibus）登录号下载：GSE300475。
文件夹1——H5AD文件：该文件夹存放原始与预处理转录组学数据的AnnData对象：
gene_expression_annotated.h5ad：该文件包含所有样本的合并原始基因表达数据，细胞已通过患者ID与治疗响应标签完成注释。
gene_expression_processed1.h5ad：该文件包含经过质量控制并移除双细胞（doublets）后的预处理转录组学数据。
文件夹2——CSV文件：该文件夹包含教程中使用的全部.csv格式文件，具体包括：
hvg_genes.csv：用于特征选择的高可变基因（highly variable genes, HVG）列表；
transcriptomic_features.csv：转录组学特征矩阵（样本×基因维度）；
fluxomic_features.csv：通量组学特征矩阵（样本×反应维度）；
metadata.csv：包含响应标签（响应者/无响应者）的样本级元数据。
教程代码可于以下仓库获取：Occhipinti-Lab/HRplus-BC-Multimodal：多尺度通量平衡分析：桥接多组学与单细胞数据