I am trying to plot gene expression values in a clinical trial. I have come to an scalar, represeting relative quantification, and I have 3 groups of intervention.I am trying to plot it in a bar graph (I am open to alternatives). My database is made up 55 genes to study in 151 samples.
The plot design is not pretty fancy, I would like to discriminate the groups by colours
ggplot(genes[time = 3], aes(grup_int, RQ)) +
stat_summary(fun.y = mean, geom='point') +
stat_summary(fun.data = 'mean_cl_boot', geom='errorbar', width=.25) +
facet_grid(.~gen)
As you see the resolution is low. I was wondering if there is other approach, maybe rearrange the plots or even divide the plot in 2 plots...
Thanks in advance!
