title: Seurat绘制3D-umap tags: [] id: '2263' categories:
之前在Rstudio-server上安装了seurat,现在可以试试绘制3D-umap了
library(plotly)
library(Seurat)
sample13 <- readRDS("~/upload/zl_liu/work/Prognosis/scRNA/sample13.rds")
sample13 <- RunUMAP(sample13, dims = 1:10, n.components = 3L)
plot.data <- FetchData(object = sample13, vars = c("UMAP_1", "UMAP_2", "UMAP_3", "seurat_clusters"))
plot.data$label <- paste(rownames(plot.data))
# Plot your data, in this example my Seurat object had 21 clusters (0-20)
plot_ly(data = plot.data,
x = ~UMAP_1, y = ~UMAP_2, z = ~UMAP_3,
color = ~seurat_clusters,
colors = c("lightseagreen",
"gray50",
"darkgreen",
"red4",
"red",
"turquoise4",
"black",
"yellow4",
"royalblue1",
"lightcyan3",
"peachpuff3",
"khaki3",
"gray20",
"orange2",
"royalblue4",
"yellow3",
"gray80",
"darkorchid1",
"lawngreen",
"plum2",
"darkmagenta")[1:7],
type = "scatter3d",
mode = "markers",
marker = list(size = 5, width=2), # controls size of points
text=~label, #This is that extra column we made earlier for which we will use for cell ID
hoverinfo="text") #When you visualize your plotly object, hovering your mouse pointer over a point shows cell names