I have a dataset that I am analyzing and there are n = 5 of normal and n = 5 of diseased. I have an integrated Seurat object that I've already clustered by cell type. I'm trying to look at the expression of a certain gene in each cell type relative to the other in both normal and diseased. But the issue is that I want to show the variance between samples, so basically I need to show the expression levels in 5 normal and 5 diseased samples per cell type. I did this via the DotPlot function, but also want to use a bar graph. When I generated the dotplot, I saw that it also generates a data table that has "avg.exp," "pct.exp," and "avg.exp.scaled" values. So what I did was for each sample, I took it's avg.exp.scaled value and made a barplot with individual dots, however for a lot of the samples, the avg.exp.scaled is the exact same value (e.g 20, or 4, etc). Could someone please explain how this avg.exp.scaled value works, and why different samples can have the exact same value?
Hello,
I have a dataset that I am analyzing and there are n = 5 of normal and n = 5 of diseased. I have an integrated Seurat object that I've already clustered by cell type. I'm trying to look at the expression of a certain gene in each cell type relative to the other in both normal and diseased. But the issue is that I want to show the variance between samples, so basically I need to show the expression levels in 5 normal and 5 diseased samples per cell type. I did this via the DotPlot function, but also want to use a bar graph. When I generated the dotplot, I saw that it also generates a data table that has "avg.exp," "pct.exp," and "avg.exp.scaled" values. So what I did was for each sample, I took it's avg.exp.scaled value and made a barplot with individual dots, however for a lot of the samples, the avg.exp.scaled is the exact same value (e.g 20, or 4, etc). Could someone please explain how this avg.exp.scaled value works, and why different samples can have the exact same value?
Thanks!