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
Spatial Single Cell Analysis in Python
A tool for semi-automatic cell type classification
Graph-linked unified embedding for single-cell multi-omics data integration
OPEM (Open Source PEM Fuel Cell Simulation Tool)
Automated 3D cell detection in very large images
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Inner ear models for Python
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
Autonomous multi-agent framework to optimize scientific software
MCP server for spatial transcriptomics analysis through natural language interfaces.
Multigrate: multiomic data integration for single-cell genomics
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics