clusterStickiness {scDblFinder} | R Documentation

## 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)

[Package scDblFinder version 1.8.0 Index]