I made a heatmap of differential gene expression between subclusters of cells from a data.frame
Every tile represents the number of genes that are differentially expressed between a pair of subclusters (shown as
total in the tooltip).
cluster.heatmap <- ggplot(diffexp) + geom_tile(aes(x = cluster_A, y = cluster_B, fill = total, text = paste0("up_genes: ", up_genes)), colour="white", size=0.05) + scale_fill_viridis_c(begin=0.1, na.value="grey20") + ggtitle("Differentially Expressed Genes Between Subcluster Pairs") ggplotly(cluster.heatmap)
I added the column which contains the list of
up_genes to the tooltip via the
text = paste0("up_genes: ", up_genes) parameter (columns
diffexp$down_genes contain the actual lists of genes).
However, as you can see in the image, in most cases, this list is rather large and does not fit in the tooltip.
Therefore, I think the best solution is to have a coupled
datatable which shows the list of genes, similar to what is shown here:
This coupled table would show the dataframe row for the pair of
cluster_B tile selected.
Any idea how to achieve this?
diffexp looks like this: