spatialMETA: a deep learning framework for spatial multiomics
Project description
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
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
- Update
Release history Release notifications | RSS feed
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