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

Recommended to use Python 3.9 environment.

pip3 install spatialmeta

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

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

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