classifyORFsCandidates {ORFhunteR} | R Documentation

## Classify the pseudo and true ORF candidates derived from RNA molecules

### Description

Clussify the pseudo and true ORF candidates.

### Usage

    classifyORFsCandidates(
      ORFLncRNAs,
      ORFmRNAs,
      pLearn = 0.75,
      nTrees = 500,
      modelRF = NULL,
      workDir = NULL,
      showAccuracy = FALSE
    )

### Arguments

`ORFLncRNAs` | the oject of the class list of non-coding pseudo ORFs.
`ORFmRNAs` | the oject of the class list of coding true ORFs.
`pLearn` | probability threshold for the "traing" class of ORFs. Default value is 0.75.
`nTrees` | nuber of the decision trees in randomForest. Default value is 500.
`modelRF` | character string giving the name of RDS-file to store the classification model. NULL by default.
`workDir` | character string giving the path to and name of work directory. NULL by default that mean the current working directory.
`showAccuracy` | logic TRUE or FALSE. Use TRUE for print accuracy metrics. Default value is FALSE

### Value

The classificator object of the class randomForest.

### Author(s)

Mikalai M. Yatskou

### Examples

    ## Not run:
    clt <- classifyORFsCandidates(ORFLncRNAs, ORFmRNAs)

    ## End(Not run)

[Package ORFhunteR version 1.2.0 Index]