plotReducedDimLR | R Documentation |
This function produces a figure to show the gene expression intensity of a ligand-receptor pair on a pre-calculated low-dimensional projection (such as UMAP or t-SNE).
plotReducedDimLR(
sce,
dimname = "TSNE",
lr_pair,
lr_desc = c("Ligand", "Receptor"),
lr_color = c("blue", "red"),
lr_sep = "-",
oneplot = TRUE,
exprs_by = "logcounts",
same_scale = TRUE,
low_color = "gray90",
point_size = 2,
point_alpha = 0.5,
point_shape = 16,
guides_barwidth = NULL,
guides_barheight = NULL,
text_by = NULL,
theme_size = 18,
...
)
sce |
A |
dimname |
A string or integer scalar indicating the reduced dimension
result in |
lr_pair |
A character vector of length 2 containing the ligand and receptor gene symbol. |
lr_desc |
A character vector of length 2 containing short description
to change legend title. Default is |
lr_color |
A character vector of length 2 containing colour aesthetics.
Default is |
lr_sep |
A character string to define how the 2 genes terms are separated. Default is "-". |
oneplot |
Logical scalar indicating whether to overlay expressions
and produce a single plot or produces two side-by-side plots. Default is
|
exprs_by |
A string or integer scalar indicating which assay to obtain expression values from, for use in point aesthetics. Default is "logcounts". |
same_scale |
Logical scalar indicating whether to use same scale limits
on both genes. Default is |
low_color |
A string containing the color code to indicate the colour on the lower-end of the colour scale. Default is "gray90". |
point_size |
A numeric scalar indicating the size of the points. Default is 2. |
point_alpha |
A numeric scalar (between 0 and 1) indicating the transparency. Default is 0.5. |
point_shape |
An integer scalar (between 0 and 25) indicating the shape aesthetics. Also accepts an integer vector length 2 to use different shape on the two plots. Default is 16. |
guides_barwidth , guides_barheight |
A numeric or a |
text_by |
A string indicating the column metadata field with which
to add text labels on the plot. Default is |
theme_size |
A numeric scalar indicating the base font size. Default is 18. |
... |
Other arguments passed on to |
The function is based on plotReducedDim()
from the scater package,
and uses new_scale_colour()
from the ggnewscale package to add an
additional layer
where a second geom
uses another colour scale to show
the expression intensity of a second gene.
Even though plotReducedDimLR()
was designed initially to show ligand-
receptor expression, by changing the lr_desc
and lr_sep
arguments, one
can also use this function to show the expression of two genes, that could
be expressed in a mutually exclusive fashion, or specific to certain cell
clusters or cell types.
If it is too difficult to visualise the expression of two colour scales on
the same figure, one can use oneplot = FALSE
to create a compound figure
with 2 sub-plots, each showing their respective colours.
A ggplot
object when oneplot = TRUE
or a ggplot2 plot
with an object of class c("gg", "ggplot")
when oneplot = FALSE
I-Hsuan Lin
scater::plotReducedDim()
, ggnewscale::new_scale_colour()
# Load demo dataset
data(sce)
# Plot TSNE on 2 genes
plotReducedDimLR(sce, "TSNE", c("VWF23", "VVU55"))
# Customise annotation
plotReducedDimLR(sce, "TSNE", c("OOX46", "BFP78"),
lr_desc = c("B", "D"), lr_sep = " and ", text_by = "label"
)
# Show 2 plots
plotReducedDimLR(sce, "TSNE", c("OOX46", "BFP78"),
lr_desc = c("Grp B", "Grp D"), lr_sep = " and ", text_by = "label",
guides_barheight = 10, oneplot = FALSE
)
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