plot_cells_3d | R Documentation |
Plot a dataset and trajectory in 3 dimensions
plot_cells_3d(
cds,
dims = c(1, 2, 3),
reduction_method = c("UMAP", "tSNE", "PCA", "LSI", "Aligned"),
color_cells_by = "cluster",
genes = NULL,
show_trajectory_graph = TRUE,
trajectory_graph_color = "black",
trajectory_graph_segment_size = 5,
norm_method = c("log", "size_only"),
color_palette = NULL,
color_scale = "Viridis",
cell_size = 25,
alpha = 1,
min_expr = 0.1
)
cds |
cell_data_set to plot |
dims |
numeric vector that indicates the dimensions used to create the 3D plot, by default it is the first three dimensions. |
reduction_method |
string indicating the reduction method to plot. |
color_cells_by |
the cell attribute (e.g. the column of colData(cds)) to map to each cell's color. Default is cluster. |
genes |
a gene name or gene id to color the plot by. |
show_trajectory_graph |
a logical used to indicate whether to graph the principal graph backbone. Default is TRUE. |
trajectory_graph_color |
the color of graph backbone. Default is black. |
trajectory_graph_segment_size |
numeric indicating the width of the graph backbone. Default is 5. |
norm_method |
string indicating the method used to transform gene expression when gene markers are provided. Default is "log". "size_only" is also supported. |
color_palette |
List of colors to pass to plotly for coloring cells by categorical variables. Default is NULL. When NULL, plotly uses default colors. |
color_scale |
The name of the color scale passed to plotly for coloring cells by numeric scale. Default is "Viridis". |
cell_size |
numeric indicating the size of the point to be plotted. Default is 25. |
alpha |
numeric indicating the alpha value of the plotted cells. Default is 1. |
min_expr |
numeric indicating the minimum marker gene value to be colored. Default is 0.1. |
a plotly plot object
## Not run:
plot_cells_3d(cds, markers=c("Rbfox3, Neurod1", "Sox2"))
## End(Not run)
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