I have genes
x expression data samples
I would like to generate a plotly
heatmap
for and add samples
dendrogram
ggplot
to.
Here are my details:
set.seed(1)
mat <- matrix(rnorm(100*10),100,10,dimnames = list(paste0("G",1:100),paste0("S",1:10)))
Here clustering
and dendrograms
:
library(dendsort)
library(dplyr)
col.hc <- hclust(dist(t(mat))) %>% dendsort::dendsort(.)
col.dend <- as.dendrogram(col.hc)
col.ord <- order.dendrogram(col.dend)
row.hc <- hclust(dist(mat)) %>% dendsort::dendsort(.)
row.dend <- as.dendrogram(row.hc)
row.ord <- order.dendrogram(row.dend)
mat <- mat[row.ord,col.ord]
Here I create ggplot
from col.dend
, using dendextend
. Please note that all legend
related text
and ticks
suppressed:
library(dendextend)
library(ggplot2)
col.gg.dend <- dendextend::as.ggdend(col.dend)
col.gg.dend.ggplot <- ggplot(col.gg.dend,labels=F)+guides(fill=F)+theme_minimal()+
theme(axis.title=element_blank(),axis.text=element_blank(),axis.ticks=element_blank(),panel.grid=element_blank(),legend.position="none",legend.text=element_blank(),legend.background=element_blank(),legend.key=element_blank())
And here I create plotly
heatmap
and add col.gg.dend.ggplot
with plotly::subplot
:
library(plotly)
library(reshape2)
library(grDevices)
plot.df <- reshape2::melt(mat,varnames=c("gene","sample"),value.name="value")
heatmap.plot <- plot_ly(z=c(plot.df$value),x=plot.df$sample,y=plot.df$gene,colors=colorRamp(c("darkblue","white","darkred")),type="heatmap",colorbar=list(title="Expression",len=0.4)) %>%
layout(yaxis=list(title="Gene"),xaxis=list(title="Sample"))
empty.axis <- list(showticklabels=F,showgrid=F,zeroline=F,title=NULL)
empty.plot <- plot_ly() %>% layout(margin=list(l=200),xaxis=empty.axis,yaxis=empty.axis)
subplot(plotly_build(col.gg.dend.ggplot),empty.plot,heatmap.plot,nrows=2,margin=c(0,0,0,0),heights=c(0.2,0.8),widths=c(0.8,0.2))
which gives me:
All this works great, except that the bottom is added to heatmap
legend
(black,solid,1)
and (NA,1)
which I would like to remove / disable.
Please note that plotly_build(col.gg.dend.ggplot)
draws dendrogram
without this part legend
.