Segmentation MethodsMethods for Segmentation
objects
# S3 method for Segmentation
Cells(x, ...)# S3 method for Segmentation
GetTissueCoordinates(object, full = TRUE, ...)
# S3 method for Segmentation
RenameCells(object, new.names = NULL, ...)
# S3 method for Segmentation
lengths(x, use.names = TRUE)
# S3 method for Segmentation
subset(x, cells = NULL, ...)
# S4 method for Segmentation,character,missing,ANY
[[(x, i, j, ...) <- value
# S4 method for Segmentation,character,missing,NULL
[[(x, i, j, ...) <- value
# S4 method for Segmentation,ANY,ANY,ANY
[(x, i, j, ..., drop = TRUE)
# S4 method for Segmentation
coordinates(obj, full = TRUE, ...)
# S4 method for Segmentation
show(object)
Cells: A vector of cell names
GetTissueCoordinates, coordinates: A data frame with
three columns:
“x”: the x-coordinate
“y”: the y-coordinate
“cell” or “ID”: the cell name
If full is TRUE, then each coordinate will indicate a vertex
for the cell polygon; otherwise, each coordinate will indicate a centroid
for the cell. Note: GetTissueCoordinates ....
RenameCells: object with the cells renamed to
new.names
lengths: An rle object for the cells
subset, [: x subsetted to the cells specified
by cells/i
[[<-:
If value is an sf object,
returns x with value stored in sf;
requires that i is “sf.data”.
If value is NULL, returns x with sf removed.
show: Invisibly returns NULL
A
Segmentation object
Arguments passed to other methods
Expand the coordinates to the full polygon
vector of new cell names
Ignored
A vector of cells to keep; if NULL, defaults
to all cells
Ignored
The value to assign to the slot specified by i in the Segmentation object.
The following methods use progressr to render status updates and progress bars:
RenameCells
To enable progress updates, wrap
the function call in with_progress or run
handlers(global = TRUE) before running
this function. For more details about progressr, please read
vignette("progressr-intro")
The following methods use future to enable parallelization:
RenameCells
Parallelization strategies can be set using
plan. Common plans include “sequential”
for non-parallelized processing or “multisession” for parallel
evaluation using multiple R sessions; for other plans, see the
“Implemented evaluation strategies” section of
?future::plan. For a more thorough introduction
to future, see
vignette("future-1-overview")
Cells: Get cell names
GetTissueCoordinates, coordinates: Get
tissue coordinates
RenameCells: Update cell names
lengths: Generate a run-length encoding of the cells present
subset, [: Subset a Segmentation object to
certain cells
[[<-: Attach or remove sf object to/from a Segmentation object
show: Display an object summary to stdout
Segmentation-class
Segmentation layer classes:
Centroids-class,
Centroids-methods,
Molecules-class,
Molecules-methods,
Segmentation-class,
Segmentation-validity