Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
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Fast, sensitive and accurate integration of single-cell data with Harmony
Learning cell communication from spatial graphs of cells
- tensorflow
- gnn
- glm
- cvae
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
- cell-annotation
- multiplexed-imaging
- mpif
MCP server for spatial transcriptomics analysis through natural language interfaces.
- bioinformatics
- cell-communication
- deconvolution
- machine-learning
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network