clusterStickiness: clusterStickiness

In plger/scDblFinder: scDblFinder

clusterStickiness

Description

Tests for enrichment of doublets created from each cluster (i.e. cluster's stickiness). Only applicable with >=4 clusters. Note that when applied to an multisample object, this functions assumes that the cluster labels match across samples.

Usage

clusterStickiness(
  x,
  type = c("quasibinomial", "nbinom", "binomial", "poisson"),
  inclDiff = NULL,
  verbose = TRUE
)

Arguments

x	A table of double statistics, or a SingleCellExperiment on which scDblFinder was run using the cluster-based approach.
type	The type of test to use (quasibinomial recommended).
inclDiff	Logical; whether to include the difficulty in the model. If NULL, will be used only if there is a significant trend with the enrichment.
verbose	Logical; whether to print additional running information.

Value

A table of test results for each cluster.

Examples

sce <- mockDoubletSCE(rep(200,5))
sce <- scDblFinder(sce, clusters=TRUE, artificialDoublets=500)
clusterStickiness(sce)

plger/scDblFinder documentation built on March 20, 2024, 9:46 p.m.