seuratGenePlot {singleCellTK} | R Documentation |
Compute and plot visualizations for marker genes
seuratGenePlot( inSCE, scaledAssayName = "seuratScaledData", plotType, features, groupVariable, splitBy = NULL, cols = c("lightgrey", "blue"), ncol = 1 )
inSCE |
Input |
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 |
cols |
Specify two colors to form a gradient between. Default is
|
ncol |
Visualizations will be adjusted in "ncol" number of columns.
Default is |
Plot object