get_num_cell_per_spot: Estimate a relative number of cells per spot for spatial...
In SydneyBioX/scFeatures: scFeatures: Multi-view representations of single-cell and spatial data for disease outcome prediction
get_num_cell_per_spot R Documentation
Estimate a relative number of cells per spot for
spatial transcriptomics data
Description
This function takes a list object containing spatial transcriptomics matrix as input
and estimates the relative number of cells per spot in the data.
The number of cells is estimated as the library size scaled to
the range from 1 to 100.
This value stored in the number_cells attribute.
Usage
get_num_cell_per_spot(alldata)
Arguments
alldata
A list object containing spatial transcriptomics
Value
a vector with the relative number of cells in each spot.
Examples
utils::data("example_scrnaseq" , package = "scFeatures")
data <- example_scrnaseq@assays$RNA@data
data <- list(data = data)
number_of_cells <- get_num_cell_per_spot(data)
SydneyBioX/scFeatures documentation built on March 13, 2024, 12:36 a.m.
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| get_num_cell_per_spot | R Documentation |
Estimate a relative number of cells per spot for spatial transcriptomics data
Description
This function takes a list object containing spatial transcriptomics matrix as input
and estimates the relative number of cells per spot in the data.
The number of cells is estimated as the library size scaled to
the range from 1 to 100.
This value stored in the number_cells attribute.
Usage
get_num_cell_per_spot(alldata)
Arguments
alldata |
A list object containing spatial transcriptomics |
Value
a vector with the relative number of cells in each spot.
Examples
utils::data("example_scrnaseq" , package = "scFeatures")
data <- example_scrnaseq@assays$RNA@data
data <- list(data = data)
number_of_cells <- get_num_cell_per_spot(data)
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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