contract.update: contract.update

In hypergate: Machine Learning of Hyperrectangular Gating Strategies for High-Dimensional Cytometry

contract.update

Description

Update the hyperrectangle to the best contraction move found

Usage

contract.update(
  contract_object,
  pars = envir$pars,
  active_channels = envir$active_channels,
  b_pos = envir$b_pos,
  b_neg = envir$b_neg,
  state_pos = envir$state_pos,
  state_neg = envir$state_neg,
  TN = envir$TN,
  TP = envir$TP,
  xp_pos = envir$xp_pos,
  xp_neg = envir$xp_neg,
  envir = parent.frame()
)

Arguments

contract_object	output of the contract function
pars	Current parametrization of the hyperrectangle
active_channels	vector of currently-used parameters
b_pos	boolean matrix of positive events
b_neg	boolean matrix of negative events
state_pos	State vector of the positive events
state_neg	State vector of the negative events
TN	integer: current number of TN
TP	integer: current number of TP
xp_pos	Expression matrix for positive events
xp_neg	Expression matrix for negative events
envir	Current environment of the optimization

hypergate documentation built on Aug. 31, 2023, 5:12 p.m.