[英]How to add outer track for circlize plot
I have the following data frame, which I like to plot using circlize :我有以下数据框,我喜欢使用circlize 绘制:
library(circlize)
library(tidyverse)
circos_tc_dat <- structure(list(ligand = c("Cxcr4 ", "Cd44 ", "Cxcr4 ", "Cxcr4 ",
"Csf2rb ", "Plaur ", "Plaur ", "Cxcr4 ", "Csf3r ", "Sell ", "Tnfrsf1b ",
"Sell ", "Csf2rb ", "Tnfrsf1b ", "Csf2rb ", "Il1r2 ", "Plaur ",
"Calm1 ", "Cd44 ", "Ptafr ", "Il1r2 ", "Calm1 ", "Cxcr2 ", "Cxcr2 "
), receptor = c("Dsg2", "Itgb1", "Cxcl10", "Cxcl10", "Itgb1",
"Itgb1", "Agt", "Csf1", "Csf1", "Icam1", "Calm1", "Calm1", "Tnf",
"App", "Il1b", "Tnf", "Il1b", "Tnf", "Mmp9", "Anxa1", "Il1b",
"Il1b", "Cxcl10", "Calr"), weight = c(0.168, 0.169, 0.099, 0.099,
0.314, 0.342, 0.093, 0.106, 0.388, 0.179, 0.278, 0.179, 0.043,
0.046, 0.043, 0.044, 0.046, 0.172, 0.539, 0.11, 0.908, 0.141,
0.097, 0.02), tc = c("DAY03", "DAY03", "DAY03", "DAY03", "DAY03",
"DAY03", "DAY03", "DAY03", "DAY03", "DAY03", "DAY03", "DAY03",
"DAY03", "DAY03", "DAY03", "DAY03", "DAY03", "DAY03", "DAY03",
"DAY03", "DAY03", "DAY03", "DAY03", "DAY03"), sender_cell_name = c("Abs. & secrectory cell",
"Abs. & secrectory cell", "Abs. & secrectory cell", "Endothelial",
"Endothelial", "Endothelial", "Fibroblast", "Fibroblast", "Fibroblast",
"Fibroblast", "Germinal center B cell", "Lymphatic", "Macrophage",
"Macrophage", "Macrophage", "Macrophage", "Macrophage", "Macrophage",
"Macrophage", "Myofibroblast", "Neutrophil", "Neutrophil", "Plasma cell",
"Plasma cell"), receiver_cell_name = c("Neutrophil", "Neutrophil",
"Neutrophil", "Neutrophil", "Neutrophil", "Neutrophil", "Neutrophil",
"Neutrophil", "Neutrophil", "Neutrophil", "Neutrophil", "Neutrophil",
"Neutrophil", "Neutrophil", "Neutrophil", "Neutrophil", "Neutrophil",
"Neutrophil", "Neutrophil", "Neutrophil", "Neutrophil", "Neutrophil",
"Neutrophil", "Neutrophil"), sender_cell_color = c("#8DD3C7",
"#8DD3C7", "#8DD3C7", "#FFFFB3", "#FFFFB3", "#FFFFB3", "#BEBADA",
"#BEBADA", "#BEBADA", "#BEBADA", "#FB8072", "#80B1D3", "#FDB462",
"#FDB462", "#FDB462", "#FDB462", "#FDB462", "#FDB462", "#FDB462",
"#B3DE69", "#FCCDE5", "#FCCDE5", "#D9D9D9", "#D9D9D9"), receiver_cell_color = c("#000000",
"#000000", "#000000", "#000000", "#000000", "#000000", "#000000",
"#000000", "#000000", "#000000", "#000000", "#000000", "#000000",
"#000000", "#000000", "#000000", "#000000", "#000000", "#000000",
"#000000", "#000000", "#000000", "#000000", "#000000")), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -24L))
It looks like this:它看起来像这样:
> circos_tc_dat
# A tibble: 24 x 8
ligand receptor weight tc sender_cell_name receiver_cell_name sender_cell_color receiver_cell_color
<chr> <chr> <dbl> <chr> <chr> <chr> <chr> <chr>
1 "Cxcr4 " Dsg2 0.168 DAY03 Abs. & secrectory cell Neutrophil #8DD3C7 #000000
2 "Cd44 " Itgb1 0.169 DAY03 Abs. & secrectory cell Neutrophil #8DD3C7 #000000
3 "Cxcr4 " Cxcl10 0.099 DAY03 Abs. & secrectory cell Neutrophil #8DD3C7 #000000
4 "Cxcr4 " Cxcl10 0.099 DAY03 Endothelial Neutrophil #FFFFB3 #000000
5 "Csf2rb " Itgb1 0.314 DAY03 Endothelial Neutrophil #FFFFB3 #000000
6 "Plaur " Itgb1 0.342 DAY03 Endothelial Neutrophil #FFFFB3 #000000
7 "Plaur " Agt 0.093 DAY03 Fibroblast Neutrophil #BEBADA #000000
8 "Cxcr4 " Csf1 0.106 DAY03 Fibroblast Neutrophil #BEBADA #000000
9 "Csf3r " Csf1 0.388 DAY03 Fibroblast Neutrophil #BEBADA #000000
10 "Sell " Icam1 0.179 DAY03 Fibroblast Neutrophil #BEBADA #000000
With this code:使用此代码:
# Define color
ligand_color <- circos_tc_dat %>% dplyr::select(ligand, sender_cell_color) %>% unique()
grid_ligand_color <- ligand_color$sender_cell_color %>% set_names(ligand_color$ligand)
receptor_color <- circos_tc_dat %>% dplyr::select(receptor, receiver_cell_color) %>% unique()
grid_receptor_color <- receptor_color$receiver_cell_color %>% set_names(receptor_color$receptor)
grid_col <- c(grid_ligand_color, grid_receptor_color)
# Prepare the circos visualization: order ligands and targets ------------
receptor_order <- circos_tc_dat$receptor %>% unique()
# ligand_order <- c(CAF_specific_ligands, general_ligands, endothelial_specific_ligands) %>%
# c(paste(., " ")) %>%
# intersect(circos_tc_dat$ligand)
ligand_order <- circos_tc_dat$ligand %>% unique()
order <- c(ligand_order, receptor_order)
# Define links
lr_links_circle <- circos_tc_dat %>% dplyr::select(ligand, receptor, weight)
cutoff_include_all_ligands <- lr_links_circle$weight %>% quantile(0.66)
# Prepare the circos visualization: define the gaps between the different segments --------
width_same_cell_same_ligand_type <- 0.25
width_different_cell <- 3
width_ligand_receptor <- 3
width_same_cell_same_receptor_type <- 0.25
gaps <- c(
rep(width_same_cell_same_ligand_type, times = (circos_tc_dat %>% distinct(ligand) %>% nrow() - 1)),
width_ligand_receptor,
# width_different_cell,
rep(width_same_cell_same_receptor_type, times = (circos_tc_dat %>% distinct(receptor) %>% nrow() - 1)),
width_ligand_receptor
)
circos.par(gap.degree = gaps)
chordDiagram(lr_links_circle,
directional = 1, order = order, link.sort = TRUE,
link.decreasing = FALSE,
grid.col = grid_col,
transparency = 0,
diffHeight = 0.005,
direction.type = c("diffHeight", "arrows"),
link.arr.type = "big.arrow",
annotationTrack = "grid",
preAllocateTracks = list(track.height = 0.075)
)
# we go back to the first track and customize sector labels
circos.track(track.index = 1, panel.fun = function(x, y) {
circos.text(CELL_META$xcenter, CELL_META$ylim[1], CELL_META$sector.index,
facing = "clockwise", niceFacing = TRUE,
adj = c(0, 0.55),
cex = 0.5
)
}, bg.border = NA)
circos.clear()
I can make this plot:我可以制作这个情节:
As shown in the above figure, I would like to add another track outside, that encode the receiver_cell_name
or sender_cell_name
.如上图所示,我想在外面添加另一个轨道,对
receiver_cell_name
或sender_cell_name
进行编码。 How can I achieve that?我怎样才能做到这一点?
A quick solution could be just to add anoter text label with a different spacing between the original label and the next new labels.一个快速的解决方案可能只是在原始标签和下一个新标签之间添加另一个具有不同间距的文本标签。 By adding
通过添加
locations=c(0.5,1.6,2.5,3,3.75,4.5,7)
labels=c("Abs.sc","Endotelial","Fib","GermB","Mac","Plasma Myo","Neutrophil")
for (i in 1:length(locations)){
circos.text(locations[i],0,labels[i],adj=c(0,-2.4),facing="bending.inside")
}
I get the following plot.我得到以下情节。
Hope it helps希望能帮助到你
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.