krsa: Main KRSA function. It performs the random sampling analysis...

In CogDisResLab/KRSA: KRSA: Kinome Random Sampling Analyzer

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

Description

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

CogDisResLab/KRSA documentation built on Nov. 9, 2024, 3:24 p.m.