ImageSet-class {IrisSpatialFeatures} | R Documentation

## Class to represent an imaging dataset.

### Description

Class to represent an imaging dataset.

### Slots

`samples`

  A list of samples each containing multiple coordinates.

`counts`

  A list of counts of different cell types for each coordinate in each sample.

`nearest_neighbors`

  A list of mean and std of nearest neighbor distances for each samples.

`interactions`

  A list of interaction information for each sample.

`proximity`

  A list of mean and std of nearest neighbor distances for each sample.

`microns_per_pixel`

  Scalar value that indicates the length of a pixel in micrometers.

`markers`

  A vector of strings indicating all different cell types considered.

`invasive_margin_in_px`

  The width of the invasive margin in pixels

`readMasks`

  Flag indicating whether the "_Tumor.tif" and "_Invasive_Margin.tif" should be read (default: True)

`ignore_scoring`

  Flag indicating whether the scoring file should be ignored (default: FALSE)

[Package IrisSpatialFeatures version 1.3.0 Index]