pca_feature_cor_plot: PCA and feature metadata correlation heatmap plot
In andreaskapou/SeuratPipe: Packaging common Seurat analysis tasks
pca_feature_cor_plot R Documentation
PCA and feature metadata correlation heatmap plot
Description
This function computes correlation of principal components
with specific feature metadata (e.g. nFeature) to identify potential
technical/batch effects in the data.
Usage
pca_feature_cor_plot(seu, features)
Arguments
seu
Seurat object (required).
features
Vector of features in metadata to plot.
Value
A ggplot2 object.
Author(s)
C.A.Kapourani C.A.Kapourani@ed.ac.uk
andreaskapou/SeuratPipe documentation built on Nov. 22, 2022, 4:16 p.m.
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| pca_feature_cor_plot | R Documentation |
PCA and feature metadata correlation heatmap plot
Description
This function computes correlation of principal components with specific feature metadata (e.g. nFeature) to identify potential technical/batch effects in the data.
Usage
pca_feature_cor_plot(seu, features)
Arguments
seu |
Seurat object (required). |
features |
Vector of features in metadata to plot. |
Value
A ggplot2 object.
Author(s)
C.A.Kapourani C.A.Kapourani@ed.ac.uk
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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