plot_gene: plot_gene
In CIARA: Cluster Independent Algorithm for Rare Cell Types Identification
View source: R/Plotting_functions.R
plot_gene R Documentation
plot_gene
Description
Cells are coloured according to the expression of gene_id and plotted
according to coordinate_umap.
Usage
plot_gene(norm_counts, coordinate_umap, gene_id, title_name)
Arguments
norm_counts
Norm count matrix (genes X cells).
coordinate_umap
Data frame with dimensionality reduction coordinates.
Number of rows must be equal to the number of cells
gene_id
Character name of the gene.
title_name
Character name.
Value
ggplot2 object.
Author(s)
Gabriele Lubatti gabriele.lubatti@helmholtz-muenchen.de
See Also
CIARA documentation built on March 18, 2022, 6:48 p.m.
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View source: R/Plotting_functions.R
| plot_gene | R Documentation |
plot_gene
Description
Cells are coloured according to the expression of gene_id and plotted according to coordinate_umap.
Usage
plot_gene(norm_counts, coordinate_umap, gene_id, title_name)
Arguments
norm_counts |
Norm count matrix (genes X cells). |
coordinate_umap |
Data frame with dimensionality reduction coordinates. Number of rows must be equal to the number of cells |
gene_id |
Character name of the gene. |
title_name |
Character name. |
Value
ggplot2 object.
Author(s)
Gabriele Lubatti gabriele.lubatti@helmholtz-muenchen.de
See Also
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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