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# scPTR Web Interface
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Interactive web application for single-cell post-transcriptional regulatory decomposition.
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## Run locally
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```bash
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pip install streamlit
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streamlit run web/app.py
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```
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Opens at `http://localhost:8501`
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## Deploy (Streamlit Community Cloud)
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1. Push repository to GitHub
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2. Go to [share.streamlit.io](https://share.streamlit.io)
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3. Connect repo, set main file to `web/app.py`
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4. Deploy
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## Workflow
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1. **Load Data** — upload .h5ad or use built-in pancreas / dentate gyrus datasets
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2. **Preprocess** — filter genes, normalize, build kNN graph, smooth layers
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3. **Estimate Rates** — β via quantile regression, γ = β · u / s per cell
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4. **Discover PT States** — Leiden clustering in γ-space; PT velocity; RBP networks
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5. **Results** — UMAP visualization, gene rankings, download outputs
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