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+ ---
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+ language: en
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+ license: mit
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+ task_categories:
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+ - tabular-classification
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+ - feature-extraction
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+ tags:
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+ - bioinformatics
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+ - cancer-research
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+ - glioblastoma
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+ - survival-prediction
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+ - gene-expression
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+ pretty_name: GBM Survival Gene Expression Dataset
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+ size_categories:
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+ - 1GB<n<10GB
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+ ---
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+
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+ # 🧬 GBM Survival Gene Expression Dataset
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+
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+ This dataset contains large-scale gene expression data (RNA-Seq and Microarray) curated for predicting the survival outcomes of patients with Glioblastoma Multiforme (GBM) and Lower-Grade Glioma (LGG).
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+
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+ It is specifically designed to be used with the [GBM Survival Mamba](https://github.com/congkx123789/Tin_sinh_h-c) project.
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+
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+ ## 📂 Data Structure
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+
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+ The data is organized into three main phases:
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+
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+ ### 1. `01_raw/` (Raw Data)
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+ Untouched genomic data from international portals:
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+ - **TCGA**: RNA-Seq data from The Cancer Genome Atlas (USA).
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+ - **CGGA**: Chinese Glioma Genome Atlas data (Asia).
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+ - **GEO**: Various cohorts from NCBI Gene Expression Omnibus (REMBRANDT, GSE4412, etc.).
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+
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+ ### 2. `02_processed/` (Cleaned & Normalized)
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+ Ready-to-use data for machine learning:
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+ - **training/**: Internal Train/Val/Test splits used for model development.
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+ - **validation/**: External independent cohorts for performance verification.
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+ - Files include `X.csv` (feature matrices with 16,383 genes) and `y.csv` (survival time and status).
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+
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+ ### 3. `03_metadata/`
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+ Mapping tables between Gene Symbols and Probe IDs, as well as clinical metadata.
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+
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+ ## 🚀 How to use with the Project
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+
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+ If you have cloned the [GitHub repository](https://github.com/congkx123789/Tin_sinh_h-c), you can automatically sync this data by running:
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+
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+ ```bash
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+ python scripts/download_data_hf.py
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+ ```
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+
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+ This will download all files and place them in the correct `data/` directory structure.
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+
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+ ## 📝 Data Sources & Citations
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+
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+ If you use this data, please cite the original sources:
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+ 1. TCGA Research Network: https://www.cancer.gov/tcga
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+ 2. CGGA Database: http://www.cgga.org.cn/
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+ 3. NCBI GEO: https://www.ncbi.nlm.nih.gov/geo/
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+
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+ **Project Maintainer**: Cong, K. X.