Main KRSA function. It performs the random sampling analysis and generates a Z score table and a count matrix — krsa • KRSA

Takes in a vector of the peptides that are considered "hits" and kinase-substrate and coverage dataframes and returns the Z score table

Usage

krsa(
  peptides,
  itr = 2000,
  seed = 123,
  return_count = F,
  map_file = KRSA_file,
  cov_file = chipCov
)

Arguments

peptides: a vector of the peptides that are considered "hits"
itr: number of iterations for the random sampling (default = 2000)
seed: seed number (default = 123)
return_count: boolean to return the kinase count matrix
map_file: kinase-substrate dataframe
cov_file: kinase coverage dataframe

Value

Z score tibble or list if return_count = TRUE

See also

Other core functions: krsa_group_diff(), krsa_quick_filter(), krsa_read(), krsa_scaleModel()

Examples

TRUE
#> [1] TRUE