TargetPre: TargetByLasso

In NaijIuc/TargetByLasso: Key Target Prediction of a Disease

Description

This package is used for key target prediction of a disease by employing the results of drug test matrix

Usage

TargetPre(
  single.effect,
  combo.effect,
  ref.matrix,
  single.select.times = 100,
  single.nfold = 10,
  combo.select.times = 10,
  combo.nfold = 10,
  model = 1,
  n.cores = detectCores()
)

Arguments

single.effect	Single drugs with effects that can be binomial or continue values
combo.effect	Combination drugs with effects, only allowing binomial here
ref.matrix	A matrix from STITCH, containing all drug-target information
single.select.times	Repeat times for single feature selection, the default value is 100
single.nfold	Fold number for single selection cross-validation, the default value is 10
combo.select.times	Repeat times for combination features selection, the default value is 10
combo.nfold	Fold number for combination features selection, the default value is 10
model	The function has two models for combo selection 1 = glmnet, 2 = biglasso, the default is glmnet
n.cores	Number of cores of CPU asking for tasks running

NaijIuc/TargetByLasso documentation built on July 5, 2020, 11 a.m.