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the selection of l value for the spatial weight matrix (needs to be more automated & more intuitive instructions
make the z-score method as default (especially for large samples); we may instead mention permutation in the text
plotting: local ligand/receptor (single color, e.g., white to red)
trying to replace spatialDE with SparseAEH
pathway enrichment: make a new function (ideally intro in API): query gene list(s), background gene list, pathway database -> results as data frame (n_pathway - by - columns: total_gene, overlapped_genes, qury_genes, background_mapped_gene, background_upmapped_genes, p-value
possibly explore another format of the pl.global_plot(), for example, the p-value is mainly binary for now, not very informative for the significant level
maybe also consider minimizing the required dependent pkg
The text was updated successfully, but these errors were encountered:
Some draft tasks, please keep adding:
pl.global_plot()
, for example, the p-value is mainly binary for now, not very informative for the significant levelThe text was updated successfully, but these errors were encountered: