Generate a ggplot rose plot with marker expression

A function to generate a rose plot as `tagtango' does.

Usage

rose_plot(
  norm,
  data,
  selected,
  n_petals = 10,
  title = NULL,
  valley = NULL,
  palette = "RdYlGn",
  quant = c(1, 6),
  ...
)

norm: normalized expression data with cells as rows and columns as markers/genes (i.e. function `process_data()' should provide this under the attribute `data')
data: data.frame with the different annotations, where each row represent a cell. The rownames should match those of `norm' (i.e. function `process_data()' should provide this under the attribute `network').
selected: boolean array with selected cells as TRUE values, for all cells in `data'.
n_petals: if an integer value, it defines the number of petals of the rose plot, selecting those that are most "relevant". If an array with marker names, it uses those.
title: main plot title. Default `NULL'.
valley: the value in `norm' corresponding to the valley separating positive and negative peak for CITE-seq data.
palette: color palette, default "RdYlGn".
quant: position of positive and negative peak for normalized data.
...: parameters passed to the underlying function.

returns a ggplot object.