smartPARE_examineCleavages: Uses the trained model to assess if the images are true or...

In kristianHoden/smartPARE: An R package for efficient identification of true mRNA cleavage sites

Description

Uses the trained model to assess if the images are true or false cleavages

Usage

smartPARE_examineCleavages(
  examinePath,
  model,
  hitsNrs = c(1, 2),
  falseNrs = c(0),
  pixels = 28,
  picsPerloop = 100,
  avoidDir = vector(),
  reshape1 = F
)

Arguments

examinePath	Path to the cleavage images (windows)
model	Trained model
hitsNrs	Directory number of the true cleavages. Default c(1,2)
falseNrs	Directory number of the false cleavages. Default 0
pixels	Pixel size of the images, same as assigned in smartPARE_train
picsPerloop	Number of images per loop withing the function. Default 100
avoidDir	directory that should not be assessed within the recursive examinePath

Examples

smartPARE_examineCleavages(examinePath,
model,
hitsNrs = c(1,2),
falseNrs = c(0),
pixels = 28,
picsPerloop = 100,
avoidDir = vector(),
reshape1 =F
)

kristianHoden/smartPARE documentation built on July 3, 2021, 7:10 p.m.