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README.md

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@@ -41,6 +41,28 @@ Set up your environment: `conda env create -f env.yaml`
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You can also follow the original environment installation instructions for every model.
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[Geneformer](https://huggingface.co/ctheodoris/Geneformer), [tGPT](https://github.com/deeplearningplus/tGPT), [UCE](https://github.com/snap-stanford/uce), [scBERT](https://github.com/TencentAILabHealthcare/scBERT), [CellPLM](https://github.com/OmicsML/CellPLM), [OpenBioMed/CellLM](https://github.com/PharMolix/OpenBioMed), [scGPT](https://github.com/bowang-lab/scGPT), [scFoundation](https://github.com/biomap-research/scFoundation). The complete code of the project is in [zenodo](https://zenodo.org/records/14938211).
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### Docker Deployment 🐳
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For quick deployment using Docker Compose:
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```bash
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# Clone the repository
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git clone https://github.com/QSong-github/scDrugMap.git
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cd scDrugMap
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# Start the services
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docker-compose up -d
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# Check service status
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docker-compose ps
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# View logs
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docker-compose logs -f
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# Stop services
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docker-compose down
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```
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### Getting Started
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(0) One-click launch
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```bash
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[10].OpenAI GPT-4o mini. https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/ (2024).
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```
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### Docker Deployment 🐳
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For quick deployment using Docker Compose:
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```bash
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# Clone the repository
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git clone https://github.com/QSong-github/scDrugMap.git
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cd scDrugMap
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# Start the services
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docker-compose up -d
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# Check service status
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docker-compose ps
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# View logs
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docker-compose logs -f
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# Stop services
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docker-compose down
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```
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**Important Notes:**
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- The backend image contains multiple LLM weights and is quite large (~10GB+), so the initial pull may take some time depending on your internet connection
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- The frontend will be available at: http://localhost:3000

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