ROCdata: Create a data table (seqId, labeled, unlabeled, pr_test) to...

In RomeroLab/pudms: Positive-Unlabeled Learning for the Analysis of Deep Mutational Scanning Datasets

Description

Create a data table (seqId, labeled, unlabeled, pr_test) to create a ROC curve

Usage

rocdata(
  coef,
  test_grouped_dat,
  Xprotein_test = NULL,
  order = 1,
  refstate = NULL,
  nCores = 1,
  verbose = T
)

Arguments

coef	a named vector for the fitted coefficient vector
test_grouped_dat	a data table (sequence, labeled, unlabeled, seqId) containing validation examples
order	a considered order of effects
refstate	a character which will be used for the common reference state; the default is to use the most frequent amino acid as the reference state for each of the position.
verbose	a logical value

Value

a data table containing (seqId, labeled, unlabeled, pr_test)

RomeroLab/pudms documentation built on Jan. 2, 2021, 5:10 a.m.