From bulk to single-cell and spatial data: An AI framework to characterise breast cancer metabolic dysregulations across modalities
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https://data.mendeley.com/datasets/z53vvrwg74
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资源简介：
The data folder contains the data files associated with the publication Le Minh Thao Doan, Suraj Verma, Noushin Eftekhari, Claudio Angione, Annalisa Occhipinti. "From bulk to single-cell and spatial data: An AI framework to characterise breast cancer metabolic dysregulations across modalities" Computers in Biology and Medicine, Volume 198, Part B, 2025, 111195, ISSN 0010-4825.
DOI: https://doi.org/10.1016/j.compbiomed.2025.111195
This repository contains:
- raw (clinical_Original.csv) and preprocessed clinical data (clinical_data.csv)
- raw transcriptomic data (TCGA-noise-ENSG.csv)
- breast Gtext data (Gtex-noiso-ENSG.csv)
- fluxomic data generated from genome-scale metabolic model (flux-test.csv)
创建时间：
2025-10-27
