run.phenograph: run.phenograph - Run phenograph clustering
In ImmuneDynamics/Spectre: High-dimensional cytometry and imaging analysis.
View source: R/run.phenograph.R
run.phenograph R Documentation
run.phenograph - Run phenograph clustering
Description
This function allows you to perform phenograph clustering on a data.table
Usage
run.phenograph()
Arguments
ref.dat
NO DEFAULT. A data.table consisting of the 'refernece' data you will use to train the alignment algorithm
Value
Returns a data.table with clustering results added
Author(s)
Thomas M Ashhurst, thomas.ashhurst@sydney.edu.au
References
Ashhurst, T. M., et al. (2019). https://www.ncbi.nlm.nih.gov/pubmed/31077106
Examples
cell.dat <- Spectre::demo.asinh
cell.dat <- Spectre::do.subsample(cell.dat, 5000)
use.cols <- names(cell.dat)[c(11:19)]
cell.dat <- run.phenograph(dat = cell.dat, use.cols = use.cols)
ImmuneDynamics/Spectre documentation built on Nov. 12, 2023, 8:12 a.m.
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View source: R/run.phenograph.R
| run.phenograph | R Documentation |
run.phenograph - Run phenograph clustering
Description
This function allows you to perform phenograph clustering on a data.table
Usage
run.phenograph()
Arguments
ref.dat |
NO DEFAULT. A data.table consisting of the 'refernece' data you will use to train the alignment algorithm |
Value
Returns a data.table with clustering results added
Author(s)
Thomas M Ashhurst, thomas.ashhurst@sydney.edu.au
References
Ashhurst, T. M., et al. (2019). https://www.ncbi.nlm.nih.gov/pubmed/31077106
Examples
cell.dat <- Spectre::demo.asinh
cell.dat <- Spectre::do.subsample(cell.dat, 5000)
use.cols <- names(cell.dat)[c(11:19)]
cell.dat <- run.phenograph(dat = cell.dat, use.cols = use.cols)
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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