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0e83011 c3f30d3 0e83011 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | # ChromBERT: A foundation model for learning interpretable representations for context-specific transcriptional regulatory networks
[](https://chrombert.readthedocs.io/en/)
[](https://www.gnu.org/licenses/gpl-3.0)
[](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.
<p align="center">
<img src="https://raw.githubusercontent.com/zhaoweiyu-github/ChromBERT/refs/heads/main/docs/_static/ChromBERT_framework.png" width="80%"/>
<p>
This repository provides the checkpoints and required dependencies for ChromBERT.
For usage, see [ChromBERT](https://github.com/TongjiZhanglab/ChromBERT) for detail.
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