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This vignette explores yeast gene expression data based on the previous and excellent analysis by David Robinson is earlier blog posts here and here.

library(yeastgenes)
library(tidyverse)
library(cowplot)
library(ggokabeito)

yeast_gene_exp |>
  left_join(yeast_go_terms) |>
  filter(go_biological_process == "leucine biosynthesis") |>
  ggplot(
    aes(
      rate,
      exp,
      color = nutrient
    )
  ) +
  geom_point() +
  geom_smooth(method = "lm", se = FALSE) +
  facet_wrap(~ common_name + systematic_name) +
  theme_cowplot() +
  scale_color_okabe_ito()