Create README.md

README.md

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+# 🧬 Single-Cell Transcriptomic Insights into Immune Aging in Human PBMCs
+
+This dataset was extracted from the supplementary tables of the publication:
+
+> **Title**: Single-cell transcriptomic landscape of human immune aging  
+> **Journal**: Cell Research (Nature Publishing Group), 2021  
+> **DOI**: [10.1038/s41422-020-00412-6](https://doi.org/10.1038/s41422-020-00412-6)
+
+---
+
+## 📂 Dataset Description
+
+The data was extracted using OCR techniques from PDF tables and saved in `.parquet` format for easy use in data science pipelines. Each row typically represents a gene, cell type, or age group comparison across various immune cell subtypes derived from peripheral blood mononuclear cells (PBMCs).
+
+Format:  
+- **File**: `Immune-Aging-transcriptomic .parquet`  
+- **Type**: Tabular dataset  
+- **Structure**: Varies per table; gene names, expression levels, p-values, fold changes, and metadata columns may be present.
+
+---
+
+## 🔧 Usage Instructions
+
+### Python (with pandas)
+
+```python
+import pandas as pd
+
+df = pd.read_parquet("Immune-Aging-transcriptomic .parquet")
+print(df.head())
+```
+
+### Use in ML pipelines
+- Input for aging clock models
+- Feature matrix construction for immune cell classification
+- Differential gene expression analysis
+
+---
+
+## 💡 Use Cases
+
+- **Aging Biomarker Discovery**: Identify aging-related genes in immune cells.
+- **Comparative Aging Studies**: Use alongside other datasets like Tabula Muris Senis or sc-ImmuAging.
+- **Model Benchmarking**: Evaluate immune aging clocks using preprocessed features.
+- **Longevity Research**: Investigate immune signatures linked to lifespan and healthspan.
+- **Multi-omics Integration**: Combine with telomere, methylation, or proteomic datasets.
+
+---
+
+## 📚 Citation
+
+If you use this dataset, please cite the original paper:
+
+> Yang, J., Zheng, Y., Gou, X. et al. Single-cell transcriptomic landscape of human immune aging. *Cell Research* **31**, 1004–1022 (2021).  
+> [DOI:10.1038/s41422-020-00412-6](https://doi.org/10.1038/s41422-020-00412-6)
+
+---
+
+## 🙏 Acknowledgments
+
+- Dataset extracted and converted to `.parquet` by **Iris Lee** for use in longevity and immune aging hackathons.
+- Original research by Yang et al., published in *Cell Research*, provided foundational insights into immune aging.
+
+---
+
+## 📁 License
+
+Please refer to the license of the original publication. This conversion is provided for **non-commercial research purposes only**.