View source: R/Seurat.Utils.Visualization.R
qQC.plots.BrainOrg | R Documentation |
Generates and arranges UMAP plots for specified QC features from a Seurat object on an A4 page, facilitating a quick quality control (QC) overview.
qQC.plots.BrainOrg(
obj = combined.obj,
QC.Features = c("nFeature_RNA", "percent.ribo", "percent.mito", "nuclear.fraction",
"percent.HGA"),
prefix = "QC.markers.4.UMAP",
suffix = "",
title = sppu(prefix, QC.Features, suffix),
nrow = 2,
ncol = 2,
...
)
obj |
Seurat object to visualize; Default: |
QC.Features |
Vector of QC feature names to plot; Default:
|
prefix |
Prefix for plot titles; Default: "QC.markers.4.UMAP". |
suffix |
Suffix for plot titles; Default: "". |
title |
Custom title for the composite plot; dynamically generated from |
nrow |
Number of rows in the plot grid; Default: 2. |
ncol |
Number of columns in the plot grid; Default: 2. |
... |
Additional parameters for individual UMAP plots. |
## Not run:
qQC.plots.BrainOrg()
## End(Not run)
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