---
annotations_creators:
- expert-generated
language:
- en
license: cc-by-4.0
multilinguality: monolingual
pretty_name: Aging ReG Dataset (Processed)
task_categories:
- tabular-regression
size_categories:
- 1K<n<10K
source_datasets:
- original
---

# Aging ReG Dataset

## Dataset Overview

**Aging ReG** is a manually curated database of aging factors focusing on regulatory relationships during aging with experimental evidence in humans. This dataset provides valuable insights into the molecular mechanisms of aging and the regulatory networks involved.

## Key Details

- **Organism:** Human  
- **Description:** Manually curated database of aging factors, focusing on regulatory relationships during aging with experimental evidence in human.  
- **Source Lab:** Tian lab  
- **Reference:** Piao et al., 2023  
- **Release Date:** 2023-10-24  

## Data Cleaning and Processing

The raw dataset was downloaded and processed to clean and organize the regulatory relationships. Data cleaning included removing duplicates, standardizing gene identifiers, and validating experimental evidence tags. The data was converted and saved in the `.h5ad` format to facilitate single-cell analysis workflows.

## Source

The raw data was downloaded from the Aging-ReG database:  
[https://bio.liclab.net/Aging-ReG/download.php](https://bio.liclab.net/Aging-ReG/download.php)

This dataset contains regulatory relationships during aging with experimental evidence curated by the Tian lab. For more details, please visit the original site.

## Usage

This dataset can be used for research in aging biology, bioinformatics, and related fields, especially for studying gene regulatory networks in the aging process.

## Citation

If you use this dataset, please cite:  
Piao et al., 2023.
Raw Data : https://bio.liclab.net/Aging-ReG/download.php

---

*Created and curated by Venkatachalam, Pooja and Albert*  
*Date: 2025-06-14*