Cell2clone

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cell2clone.classify_lightchain_or_trbc(adata)	Classify cells by receptor-chain usage.
cell2clone.compute_sample_celltype_clonality(...)	Compute sample-by-cell-type clonality metrics from two-state receptor classifications.
cell2clone.permutation_test(df, ...[, ...])	Test whether a cell type contains more highly clonal samples than a reference cell type.
cell2clone.plot_chain_skew_violin(df, adata)	Plot sample-level receptor-chain skew across cell types.
cell2clone.plot_clone_size_score_violin(df_class)	Add sample-level clonality metrics to adata.obs.
cell2clone.add_df_class_to_adata_obs(adata, ...)	Add sample-level clonality metrics to adata.obs.
cell2clone.subset_top_bottom_clonal_samples(...)	Select samples with the highest, lowest, or intermediate clonality.
cell2clone.leiden_chain_clones_sampleaware(...)	Detect clonal populations independently within each sample.