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: <b>GEO Accession:</b> GSE300475Folder 1- H5AD Files: The folder contains the <b>AnnData objects </b>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 <code>.csv</code> 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