seuratGenePlot {singleCellTK} | R Documentation

## Compute and plot visualizations for marker genes

### Description

Compute and plot visualizations for marker genes

### Usage

    seuratGenePlot(
      inSCE,
      scaledAssayName = "seuratScaledData",
      plotType,
      features,
      groupVariable,
      splitBy = NULL,
      cols = c("lightgrey", "blue"),
      ncol = 1
    )

### Arguments

`inSCE` | Input `SingleCellExperiment` object.
`scaledAssayName` | Specify the name of the scaled assay stored in the input object.
`plotType` | Specify the type of the plot to compute. Options are limited to "ridge", "violing", "feature", "dot" and "heatmap".
`features` | Specify the features to compute the plot against.
`groupVariable` | Specify the column name from the colData slot that should be used as grouping variable.
`splitBy` | Specify the column name from the colData slot that should be used to split samples. Default is `NULL`.
`cols` | Specify two colors to form a gradient between. Default is `c("lightgrey", "blue")`.
`ncol` | Visualizations will be adjusted in "ncol" number of columns. Default is `1`.

### Value

Plot object

[Package singleCellTK version 2.2.0 Index]