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ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics

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ST-Align

📖 Model Overview

Model Architecture

Project TODO List 🚀

Welcome to the project's TODO list! Below are the main tasks we are currently working on and planning for the future:

🛠️ Development Phase

  • Create Example Code
    Develop detailed example code to help users quickly understand and utilize the project's features.

  • Optimize Code Performance
    Improve code efficiency, reduce resource consumption, and ensure smooth execution.

  • Code Review & Refactoring
    Conduct comprehensive code reviews to optimize structure and maintainability.

📦 Release Phase

  • Release Example Code
    Upload the example code to the repository and provide usage instructions in the README.

  • Publish Official Code
    After completing all development tasks, release the stable version of the code.

  • Write User Documentation
    Provide detailed user guides and API documentation for easy reference.

🤖 Model Deployment

  • Deploy Hugging Face Model
    Upload the trained model to the Hugging Face platform for community use.

  • Write Model Usage Guide
    Provide detailed instructions on how to use and integrate the model.

  • Set Up Online Demo
    Create an online demo environment to showcase the model's practical applications.


Thank you for your interest and contributions! If you have any suggestions or would like to participate in the project development, feel free to submit a Pull Request or contact me.

📚 Citation

@misc{lin2024stalign,
      title={ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics}, 
      author={Yuxiang Lin and Ling Luo and Ying Chen and others},
      year={2024},
      eprint={2411.16793},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

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ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics

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