Identify top genes from a mutation df

Usage

identify_topn_genes(
  data,
  col_samples,
  col_genes,
  topn,
  genes_to_ignore = NULL,
  return_extra_genes_if_tied = FALSE,
  verbose = TRUE
)

data: data for oncoplot. A data.frame with 1 row per mutation in your cohort. Must contain columns describing gene_symbols and sample_identifiers (data.frame)
col_samples: name of data column containing sample identifiers (string)
col_genes: name of data column containing gene names/symbols (string)
topn: how many of the top genes to visualize. Ignored if genes_to_include is supplied (number, default 10)
genes_to_ignore: names of the genes that should be ignored (character, optional)
return_extra_genes_if_tied: instead of strictly returning topn genes, in the case of ties (where multiple genes are mutated in the exact same number of samples, complicating selection of top n genes), return all tied genes (potentially more than topn). If FALSE, will return strictly topn genes, breaking ties based on order of appearance in dataset (flag, default FALSE)
verbose: verbose mode (flag, default TRUE)

vector of topn genes. Their order will be their rank (most mutated = first) (character)