View source: R/plot_vln_Corgenes.R
plot_vln_Corgenes | R Documentation |
Make grid of violin plots Thanks to the SCOPfunctions package https://github.com/CBMR-Single-Cell-Omics-Platform/SCOPfunctions/blob/main/R/plot.R
produce a n_celltype * n_genes grid of violin plots
plot_vln_Corgenes(
seurat_obj,
assay,
slot,
var_group,
vec_features,
vec_group_colors = NULL,
f_color = grDevices::colorRampPalette(RColorBrewer::brewer.pal(n = 11, name =
"RdYlBu")),
flip = T,
do_plot = FALSE,
pt.size = 0,
feature_fontface = "bold.italic",
fontsize_axistext_x = 12,
fontsize_axistext_y = 12,
aspect.ratio = NULL,
figurenames = NULL,
width = 7,
height = 7
)
seurat_obj |
Seurat object (Seurat ^3.0) |
assay |
seurat_obj assay to use |
slot |
seurat_obj slot to use |
var_group |
the group variable, character |
vec_features |
a vector of features to plot in the violin plot |
vec_group_colors |
a vector of colors, named by corresponding group. Length must match number of groups. Character |
f_color |
if vec_group_colors is not provided, the user may instead provide a function f_color() that takes as its only argument the number of colors to generate |
flip |
if TRUE (default), groups are rows and features are columns, and vice-verso for FALSE |
do_plot |
Whether to plot, logical |
pt.size |
size of jitter in the violin plots. Set to 0 (default) to omit |
feature_fontface |
"bold.italic" |
fontsize_axistext_x |
12, font size for x axis |
fontsize_axistext_y |
12, font size for y axis |
aspect.ratio |
NULL |
figurenames |
The filename and address of the output plot, |
width |
figure width |
height |
figure height |
ggplot2 object
load(system.file("extdata", "Pagwas_data.RData", package = "scPagwas"))
suppressMessages(library("ggsci"))
suppressMessages(library("Seurat"))
top5genes <- rownames(Pagwas_data@misc$gene_heritability_correlation)[order(
Pagwas_data@misc$gene_heritability_correlation,
decreasing = TRUE
)[1:5]]
plot_vln_Corgenes(
seurat_obj = Pagwas_data,
assay = "RNA", slot = "data",
var_group = "anno",
vec_features = top5genes,
do_plot = TRUE
)
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