Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
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Deep probabilistic analysis of single-cell and spatial omics data
Sharing Updatable Models (SUM) on Blockchain
Graph-linked unified embedding for single-cell multi-omics data integration
Tools for computational pathology
PyTorch Connectomics: segmentation toolbox for EM connectomics
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
MCP server for spatial transcriptomics analysis through natural language interfaces.