sampleGridWithin: Make new spatial locations on unmeasured tissue through...
In YingMa0107/CARD: Spatially Informed Cell Type Deconvolution for Spatial Transcriptomics
View source: R/CARD.imputation.R
sampleGridWithin R Documentation
Make new spatial locations on unmeasured tissue through grids.
Description
Make new spatial locations on unmeasured tissue through grids.
Usage
sampleGridWithin(location, numSample, concavity = 2)
Arguments
location
Data frame, spatial location data frame of the original spatial resolved transcriptomics dataset, stored in the CARD_object@spatial_location
numSample
Numeric, approximate number of cells in grid within the shape of the spatial location data frame
concavity
Numeric, a relative measure of concavity. The default is 2.0, which can prodecure detailed enough shapes. Infinity results in a convex hull while 1 results in a more detailed shape.
Value
Return a list of data frame with newly grided points
YingMa0107/CARD documentation built on Feb. 14, 2024, 12:23 p.m.
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View source: R/CARD.imputation.R
| sampleGridWithin | R Documentation |
Make new spatial locations on unmeasured tissue through grids.
Description
Make new spatial locations on unmeasured tissue through grids.
Usage
sampleGridWithin(location, numSample, concavity = 2)
Arguments
location |
Data frame, spatial location data frame of the original spatial resolved transcriptomics dataset, stored in the CARD_object@spatial_location |
numSample |
Numeric, approximate number of cells in grid within the shape of the spatial location data frame |
concavity |
Numeric, a relative measure of concavity. The default is 2.0, which can prodecure detailed enough shapes. Infinity results in a convex hull while 1 results in a more detailed shape. |
Value
Return a list of data frame with newly grided points
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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