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Analyze cell-cell communication using methods like cellphonedb, cellchat, or connectome. Group cells by annotations, filter results by expression, and identify ligand-receptor interactions.

Instructions

Cell-cell communication analysis with one method (cellphonedb, cellchat,connectome, natmi, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseNoExponent base used to reverse the log-transformation of the matrix. Relevant only for the `logfc` method.
de_methodNoDifferential expression method used to rank genes according to 1vsRest.t-test
expr_propNoMinimum expression proportion for the ligands and receptors in the corresponding cell identities. Set to 0 to return unfiltered results.
groupbyYesKey to be used for grouping cells (e.g., cell type annotations).
inplaceNoWhether to store results in place, or return them.
key_addedNoKey under which the results will be stored in adata.uns.liana_res
layerNoLayer in AnnData.layers to use. If None, use AnnData.X.
methodNocell-cell communication methodcellphonedb
min_cellsNoMinimum cells per cell identity to be considered for downstream analysis.
n_jobsNoNumber of jobs to run in parallel.
n_permsNoNumber of permutations for the permutation test. Relevant for CellPhoneDB method.
resource_nameNoName of the resource to be used for ligand-receptor inference. See `li.rs.show_resources()` for available resources.consensus
return_all_lrsNoWhether to return all ligand-receptor pairs, or only those that surpass the expr_prop threshold.
seedNoRandom seed for reproducibility.
supp_columnsNoAdditional columns to be added from methods in liana, or columns from scanpy.tl.rank_genes_groups.
use_rawNoUse raw attribute of adata if present.
verboseNoWhether to print verbose output.

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