class_to_deseq2         Create DESeq2 object for a given cell type
classify                Classify cells on previously defined rules
feat                    Feature plots: Color gene expression in 2D
                        embeddings
find_knn                Find approximate k-nearest neighbors
is_classes              Check if obj$classes looks as expected.
                        is_class returns FALSE for example in these
                        cases: is_classes(NULL)
                        is_classes(data.frame())
                        is_classes(data.frame(class=c("T","T"),
                        parent=c("..root..","..root..")))
is_rules                Check if obj$rules looks as expected.
knn_refine              Refine cell type labels with knn classifier
plot_classes            Call and visualize 'classify' function
plot_last               Plot the last modified rule or class
pool_across_neighbors   Sum up x across neighbors in a nearest neighbor
                        graph.
pseudobulk              Form pseudobulks from single cells.
pseudobulk_id           Generate unique IDs to identify your
                        pseudobulks.
pype_code_template      Generate code template for cellpype rules
pype_from_seurat        Convert Seurat to cellpypes object.
rule                    Add a cell type rule.
simulated_umis          Simulated scRNAseq data
