ModifierMLranger-class: ModifierMLranger class

In RNAmodR.ML: Detecting patterns of post-transcriptional modifications using machine learning

Description

The ModifierMLranger class extends the virtual class ModifierMLModel and unifies the access to ranger machine learning models used in the detection of post-transcriptional modifications in RNA sequencing data. The ModifierMLranger class is virtual itself and must be extended from for each individual machine learning model.

Usage

## S4 method for signature 'ModifierMLranger,ModifierML'
useModel(x, y)

Arguments

x	a ModifierMLranger object
y	a ModifierML object

Value

a ModifierMLranger object

See Also

ModifierMLModel

Examples

# example class derived from the virtual ModifierMLranger class
setClass("ModifierMLexample",
         contains = c("ModifierMLranger"))
ModifierMLexample <- function(...){
  new("ModifierMLexample")
}
mlmodel <- ModifierMLexample()

RNAmodR.ML documentation built on Nov. 8, 2020, 6:40 p.m.