This is the first official release of Garfield, a robust framework for single-cell or spatial multi-omics data integration and analysis.
Key Features:
• Multi-modality support: Seamlessly integrate and analyze RNA-seq, ATAC-seq and protein data.
• Advanced modeling: Built-in support for GNN-based spatial niche discovery.
• Customizable workflows: Easily tune preprocessing and model parameters.
• Comprehensive visualization: Generate spatial and latent space embeddings with high-quality plots.
• User-friendly API: Modular and scalable design for bioinformatics pipelines.
Files Included:
• Garfield-1.0.0-py2.py3-none-any.whl: Python wheel for easy installation.
• garfield-1.0.0.tar.gz: Source code package.
Installation:
pip install Garfield-1.0.0-py2.py3-none-any.whl
We welcome feedback and contributions to improve Garfield further! 🚀