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Mapping the gene space at single-cell resolution with Gene Signal Pattern Analysis

Considering genes as signals on a cell-cell graph allows us to map their expression patterns. This enables complex analyses, including gene cluster analysis, cell-cell communication, and patient manifold learning from gene-gene graphs.

To run GSPA, see example notebook at 0.0_example_notebook.ipynb.

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Learning meaningful representations of genes

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