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README.md

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-See [ChromBERT](https://github.com/TongjiZhanglab/ChromBERT) for detail. 
+# ChromBERT: A foundation model for learning interpretable representations for context-specific transcriptional regulatory networks 
+[![Documentation](https://img.shields.io/badge/docs-available-brightgreen)](https://chrombert.readthedocs.io/en/)
+[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
+[![DOI](https://zenodo.org/badge/767976655.svg)](https://doi.org/10.5281/zenodo.17824395)
+
+**ChromBERT** is a pre-trained deep learning model designed to capture the genome-wide co-association patterns of approximately one thousand transcription regulators, thereby enabling accurate representations of context-specific transcriptional regulatory networks (TRNs). As a foundational model, ChromBERT can be fine-tuned to adapt to various biological contexts through transfer learning. This significantly enhances our understanding of transcription regulation and offers a powerful tool for a broad range of research and clinical applications in different biological settings.
+![ChromBERT Framework](https://github.com/zhaoweiyu-github/ChromBERT/blob/6a67a30f0bc0b511183210ac97114f7d1313b703/docs/_static/ChromBERT_framework.png "Framework")
+
+This repository provides the checkpoints and required dependencies for ChromBERT.  
+For usage, see [ChromBERT](https://github.com/TongjiZhanglab/ChromBERT) for detail.