selFeatures {scDblFinder} | R Documentation

## selFeatures

### Description

Selects features based on cluster-wise expression or marker detection, or a combination.

### Usage

    selFeatures(
      sce,
      clusters = NULL,
      nfeatures = 1000,
      propMarkers = 0,
      FDR.max = 0.05
    )

### Arguments

`sce` | A `SummarizedExperiment-class`, `SingleCellExperiment-class` with a 'counts' assay.
`clusters` | Optional cluster assignments. Should either be a vector of labels for each cell.
`nfeatures` | The number of features to select.
`propMarkers` | The proportion of features to select from markers (rather than on the basis of high expression). Ignored if ‘clusters' isn’t given.
`FDR.max` | The maximum marker binom FDR to be included in the selection. (see `findMarkers`).

### Value

A vector of feature (i.e. row) names.

### Examples

    sce <- mockDoubletSCE()
    selFeatures(sce, clusters=sce$cluster, nfeatures=5)

[Package scDblFinder version 1.8.0 Index]