zhaoweiyu-github/ChromBERT
ChromBERT: A pre-trained foundation model for context-specific transcription regulatory network
This project helps biological researchers and scientists better understand how genes are regulated within specific biological contexts. It takes genomic data related to transcription regulators as input and produces insights into complex transcription regulatory networks, revealing which regulators are active and how they interact in different cell types or conditions. This tool is designed for bioinformaticians, geneticists, and molecular biologists.
Use this if you need to accurately model and interpret context-specific gene regulation from genomic sequencing data, especially for human and mouse genomes.
Not ideal if your research involves organisms other than humans or mice, or if you require real-time, ultra-fast predictions for clinical diagnostics.
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20
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Language
Python
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Last pushed
Dec 29, 2025
Commits (30d)
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