DIscBIO (version 1.2.2)

ClassVectoringDT: Generating a class vector to be used for the decision tree analysis.

Description

This function generates a class vector for the input dataset so the decision tree analysis can be implemented afterwards.

Usage

ClassVectoringDT(
  object,
  Clustering = "K-means",
  K,
  First = "CL1",
  Second = "CL2",
  sigDEG,
  quiet = FALSE
)
# S4 method for DISCBIO
ClassVectoringDT(
  object,
  Clustering = "K-means",
  K,
  First = "CL1",
  Second = "CL2",
  sigDEG,
  quiet = FALSE
)

Value

A data frame.

Arguments

object

DISCBIO class object.

Clustering

Clustering has to be one of the following: ["K-means", "MB"]. Default is "K-means"

K

A numeric value of the number of clusters.

First

A string vector showing the first target cluster. Default is "CL1"

Second

A string vector showing the second target cluster. Default is "CL2"

sigDEG

A data frame of the differentially expressed genes (DEGs) generated by running "DEGanalysis()" or "DEGanalysisM()".

quiet

If `TRUE`, suppresses intermediary output