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xmint_manu_support's Introduction

xMINT: A Multimodal Integration Transformer for Xenium Gene Imputation

Getting Started

This repository contains the implementation of the paper available on OpenReview.

To get started, follow these steps:

  1. Clone the repository:

    git clone https://github.com/jichunxie/xMINT_manu_support
    cd xMINT_manu_support
  2. Create a Conda environment with Python 3.8:

    conda create -n xmint_env python=3.8
    conda activate xmint_env
  3. Install the required packages using the requirements.txt file:

    pip install -r requirements.txt

Input Data Format

You will need paired Xenium datasets from the same tissue to get started.

For each dataset, the input data should include:

  1. Xenium Output Bundle: The data generated by Xenium.
  2. Post-Xenium H&E Image: An OME-TIFF file of the H&E stained image corresponding to the Xenium output.

Unzip the Xenium Output Bundle folder and place the H&E image into the output folder.

Our paper utilized the following datasets:

Pipeline

To run the pipeline, follow these steps:

  1. Run the preprocessing script:

    python preprocess_to_sequence.py
  2. Run the main xMINT script:

    python xmint_main.py

Before running these scripts, ensure you update the sample names and other customized parameters as needed.

xmint_manu_support's People

Contributors

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Watchers

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