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SpatialMETA

spatialMETA is a method for integrating spatial multi-omics data. SMOI aligns ST and SM to a unified resolution, integrates single or multiple sample data to identify cross-modal spatial patterns, and offers extensive visualization and analysis functions.

Documentation

Documentation

Installation

Recommended to use Python 3.9 environment.

Installing via PyPI

pip3 install spatialmeta

Installing from source

git clone git@github.com:WanluLiuLab/SpatialMETA.git
cd spatialmeta
pip3 install -r requirements.txt
python3 setup.py install

Create a new environment

# This will create a new environment named spatialmeta
conda env create -f environment.yml
conda activate spatialmeta

Change Log

  • 0.0.2 (2025-03-06)
    • Update spatialmeta.model.AlignmentModule
    • Update spatialmeta.model.ConditionalVAESTSM

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