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