PCALevelComparison: PCA level comparison
In alexthiery/scHelper: R package containing helper functions for single cell analysis
View source: R/PCALevelComparison.R
PCALevelComparison R Documentation
PCA level comparison
Description
Plot UMAPs using different numbers of principle components.
Usage
PCALevelComparison(data, PCA_levels = c(10, 15, 20, 30), cluster_res = 0.5)
Arguments
data
Seurat object or list of Seurat objects
PCA_levels
array of four max principle components to compare
cluster_res
resolution used for KNN clustering
alexthiery/scHelper documentation built on Aug. 26, 2023, 3:42 p.m.
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View source: R/PCALevelComparison.R
| PCALevelComparison | R Documentation |
PCA level comparison
Description
Plot UMAPs using different numbers of principle components.
Usage
PCALevelComparison(data, PCA_levels = c(10, 15, 20, 30), cluster_res = 0.5)
Arguments
data |
Seurat object or list of Seurat objects |
PCA_levels |
array of four max principle components to compare |
cluster_res |
resolution used for KNN clustering |
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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