Partition Pipeline for Image Analysis

This R6 class is designed to streamline the processing pipeline for image analysis, including steps from initial processing to combining independent variables with reduced variables by tissue type by ROI.

Methods

Public methods

• PartitionPipeline$new()

• PartitionPipeline$iproc()

• PartitionPipeline$supparfun()

• PartitionPipeline$map_suppar_roi()

• PartitionPipeline$partition_intensities()

• PartitionPipeline$tissue_segment()

• PartitionPipeline$Cmb_tissue_type()

• PartitionPipeline$process_indep_variables()

• PartitionPipeline$Cmb_indep_with_dep()

• PartitionPipeline$clone()

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Method new()

Usage

PartitionPipeline$new(
  tind = NULL,
  nfl = NULL,
  main_dir = NULL,
  tissue_type = NULL,
  outp_volume = TRUE,
  ICC_thresh_vec = NULL,
  suppar_thresh_vec = seq(0.7, 1, 0.01),
  B = 2000,
  roi = NULL,
  num_cores = NULL
)

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Method iproc()

Usage

PartitionPipeline$iproc()

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Method supparfun()

Usage

PartitionPipeline$supparfun()

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Method map_suppar_roi()

Usage

PartitionPipeline$map_suppar_roi()

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Method partition_intensities()

Usage

PartitionPipeline$partition_intensities()

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Method tissue_segment()

Usage

PartitionPipeline$tissue_segment()

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Method Cmb_tissue_type()

Usage

PartitionPipeline$Cmb_tissue_type()

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Method process_indep_variables()

Usage

PartitionPipeline$process_indep_variables()

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Method Cmb_indep_with_dep()

Usage

PartitionPipeline$Cmb_indep_with_dep()

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Method clone()

The objects of this class are cloneable with this method.

Usage

PartitionPipeline$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.