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---
title: Genesis RNA - BRCA Variant Classifier
emoji: ποΈ
colorFrom: pink
colorTo: purple
sdk: gradio
sdk_version: 6.0.1
app_file: app.py
pinned: false
license: mit
---
# Genesis RNA: BRCA Variant Classifier
[](https://huggingface.co/spaces/YOUR_USERNAME/genesis-rna-brca-classifier)
[](https://github.com/oluwafemidiakhoa/genesi_ai)
## π― Overview
Genesis RNA is an AI-powered system for classifying BRCA1/BRCA2 genetic variants as **Pathogenic** or **Benign**. It combines:
- **Genesis RNA Foundation Model**: Transformer trained on 50,000+ human ncRNA sequences
- **256-dimensional embeddings**: Rich biological representations of RNA sequences
- **Random Forest Classifier**: Achieves 100% accuracy on 55,234 ClinVar variants
## π Performance
- **Accuracy**: 100.0%
- **Sensitivity**: 100.0% (detects all pathogenic variants)
- **Specificity**: 100.0% (detects all benign variants)
- **AUC-ROC**: 1.000
- **Validated on**: 55,234 BRCA1/BRCA2 variants from ClinVar
## π¬ How It Works
1. **Input**: Variant identifier (e.g., BRCA1:c.5266dupC)
2. **Embedding Extraction**: Genesis RNA model generates 256-dim features
3. **Classification**: Random Forest predicts pathogenicity
4. **Output**: Prediction + confidence score + clinical interpretation
## π Features
- **Single Variant Analysis**: Instant predictions for individual variants
- **Batch Processing**: Analyze multiple variants from CSV
- **ClinVar Integration**: Search and compare with database annotations
- **Performance Metrics**: Detailed model statistics and validation results
## β οΈ Important Disclaimer
This is a **research tool**, NOT for clinical diagnosis. Always consult:
- Genetic counselors
- Medical professionals
- Clinical genetic testing services
For any clinical decisions regarding cancer risk or treatment.
## π Citation
If you use Genesis RNA in your research, please cite:
```bibtex
@software{genesis_rna_2025,
title={Genesis RNA: A Foundation Model for Cancer Variant Classification},
author={Oluwafemi Idiakhoa},
year={2025},
url={https://github.com/oluwafemidiakhoa/genesi_ai}
}
```
## π Links
- [GitHub Repository](https://github.com/oluwafemidiakhoa/genesi_ai)
- [Documentation](https://github.com/oluwafemidiakhoa/genesi_ai/blob/main/README.md)
- [Research Paper](https://arxiv.org/abs/XXXXX) (Coming soon)
## π§ Contact
For questions or collaborations: Contact via [GitHub Discussions](https://github.com/oluwafemidiakhoa/genesi_ai/discussions)
## π License
MIT License - Free for research and educational use
---
**Built with β€οΈ for breast cancer research** |