compute.cell.label.df: similar to compute.cell.label; used when working with...
In gsdensity: Density-Based Gene Set Specificity Evaluation
View source: R/gsdensity_functions.R
compute.cell.label.df R Documentation
similar to compute.cell.label; used when working with multiple gene sets
Description
similar to compute.cell.label; used when working with multiple gene sets
Usage
## S3 method for class 'cell.label.df'
compute(cell_df)
Arguments
cell_df
output of 'run.rwr.list'
Value
cell labels of 'negative' or 'positive' for given pathways
Examples
cells <- colnames(pbmc.mtx)
el <- gsdensity::compute.nn.edges(coembed = ce, nn.use = 300)
cv <- gsdensity::run.rwr.list(el = el, gene_set = gene.set.list[1:30], cells = cells)
cl <- compute.cell.label.df(cv)
gsdensity documentation built on March 31, 2023, 8:32 p.m.
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View source: R/gsdensity_functions.R
| compute.cell.label.df | R Documentation |
similar to compute.cell.label; used when working with multiple gene sets
Description
similar to compute.cell.label; used when working with multiple gene sets
Usage
## S3 method for class 'cell.label.df'
compute(cell_df)
Arguments
cell_df |
output of 'run.rwr.list' |
Value
cell labels of 'negative' or 'positive' for given pathways
Examples
cells <- colnames(pbmc.mtx)
el <- gsdensity::compute.nn.edges(coembed = ce, nn.use = 300)
cv <- gsdensity::run.rwr.list(el = el, gene_set = gene.set.list[1:30], cells = cells)
cl <- compute.cell.label.df(cv)
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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