Volcano plot with association

Volcano plot with association

Usage

plot_volcano_assoc(
  dt_assoc,
  selected_feat_meta_col,
  selected_metric,
  condition_info = NULL,
  alpha = 0.05,
  named_p_top = 10,
  max_N = NULL
)

Arguments

dt_assoc

data.table with the calculated linear association between DepMap and metrics outputted by calc_assoc

selected_feat_meta_col

string describing the name of the associated feature/metadata from DepMap

selected_metric

string describing the name of the selected metric used the association calculation

condition_info

string describing experiment condition (preferred: "DrugName"_"Gnumber"_"drug_moa"_"Duration")

alpha

numeric cutoff to identify statistically significant correlations

named_p_top

numeric value for p-top statistically significant correlations to be labeled on the plot

max_N

numeric value for limit the maximum number of non-statistically significant points to plot; for default NULL all points will be plotted.

Value

ggplot object containing a volcano plot with association

Examples

Y <- matrix(seq(0.5, 2, length.out = 50), nrow = 50,
            dimnames = list(sprintf("row_%s", 1:50), "met_1"))
X <- matrix(
  withr::with_seed(42, sample(c(NA, seq(0.35, 23.5, 1.25)),
                              size = 50*20, replace = TRUE)),
  nrow = 50,
  dimnames = list(sprintf("row_%s", 1:50), sprintf("feat_%s", 1:20)))
tab_assoc <- calc_assoc(X, Y)
plot_volcano_assoc(tab_assoc,
                   selected_feat_meta_col = "feat_XY",
                   selected_metric = "met_RV")