MultiClassifier_Cells: MultiClassifier_Cells

In bimberlabinternal/OOSAP: OHSU-ONPRC Single-cell Analysis Package

Description

This function takes in Seurat objects and performs machine learning; generalized for common use. However as with any approach, especially in machine learning and statistical inference world, robust assessments are needed. This is a first step.

Usage

MultiClassifier_Cells(
  object_train,
  object_test,
  data2use = "data",
  assay = "RNA",
  training.genes = NULL,
  Y_Train_True = NULL,
  Y_Test_True = NULL,
  Xp1 = F,
  Xlog10 = F,
  Xasinh = F,
  do_Adaboost = F,
  do_Caret_LinSVM = F,
  do_ranger_RF = F,
  do_Caret_NaiveBayes = F,
  do_Caret_NNet = F,
  do_Caret_radialSVM = F,
  do_ElasticNet = F,
  do_tree = F,
  do_tree_gini = F,
  do_Caret_pcaNNet = F,
  do_Caret_rangerRF = F,
  do_glmStepAIC = F,
  do_stepLDA = F,
  crossValReps = 3,
  NcrossVal = 10,
  preProc = c("scale", "center", "nzv", "zv")
)

Value

A list of resuts

bimberlabinternal/OOSAP documentation built on Jan. 19, 2021, 2:47 a.m.