classifyORFsCandidates: Classify the pseudo and true ORF candidates derived from RNA...

In rfctbio-bsu/ORFhunteR: Predict open reading frames in nucleotide sequences

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)

rfctbio-bsu/ORFhunteR documentation built on July 16, 2024, 10:40 a.m.