inferSingleCellGradient.Rd
Integration of single cell deconvolution and SPATA2s image annotations.
An object of class spata2
.
Data.frame that contains the results from single cell deconvolution. Must have at least three columns:
x : numeric. Position of cell on the x axis in pixel.,
y : numeric. Position of cell on the y axis in pixel.,
cell_type : factor Cell type of the cell.
Character value. The ID of the image annotation of interest.
Distance value. Specifies the distance from the border of the
image annotation to the horizon in the periphery up to which the screening
is conducted. (See details for more.) - See details of ?is_dist
for more
information about distance values.
Numeric value or vector of length 2. Specifies how many times the area is buffered with the value
denoted in binwidth
.
(See details for more.)
Distance value. The width of the circular bins to which
the barcode-spots are assigned. We recommend to set it equal to the center-center
distance: binwidth = getCCD(object)
. (See details for more.) - See details of ?is_dist
for more
information about distance values.
Numeric vector of length 2. Confines the area screened by an angle span relative to the center of the image annotation. (See details fore more.)
Numeric value. Number of bins that are created by angle. (See details for more.)
Logical. If set to TRUE values will be scaled to 0-1.
Hint: Variables that are uniformly expressed can not be scaled and are discarded.
Adjusts the output to a list that is a valid input for
models_add
-argument of imageAnnotationScreening()
.
Data.frame as is returned by getIasDf()
with cell types as variables.