View source: R/visualization.R
heatmap_cross_sample | R Documentation |
Plot heatmap across samples.
heatmap_cross_sample( x, genes, samples = NULL, clusters = NULL, groups = NULL, type = c("counts", "logcounts", "cpm", "vstresiduals"), ... ) ## S3 method for class 'Seurat' heatmap_cross_sample( x, genes, samples = NULL, clusters = NULL, groups = NULL, type = c("counts", "logcounts", "cpm", "vstresiduals"), ... ) ## S3 method for class 'SingleCellExperiment' heatmap_cross_sample( x, genes, samples = NULL, clusters = NULL, groups = NULL, type = c("counts", "logcounts", "cpm", "vstresiduals"), ... ) ## S3 method for class 'list' heatmap_cross_sample( x, genes, samples = NULL, clusters = NULL, groups = NULL, type = c("counts", "logcounts", "cpm", "vstresiduals"), ... ) ## S3 method for class 'array' heatmap_cross_sample( x, genes, samples = NULL, clusters = NULL, groups = NULL, type = c("counts", "logcounts", "cpm", "vstresiduals"), ... )
x |
Data object to plot. |
genes |
Genes to be queried. |
samples |
Samples to be queried. |
clusters |
Cell subpopulation to be queried. |
groups |
Group infromation. |
type |
Value type of pseudo-bulk data. |
... |
Args passed to |
Seurat
: Plot heatmap for Seurat object.
SingleCellExperiment
: Plot heatmap for SingleCellExperiment object.
list
: Plot heatmap for a list of matrices.
array
: Plot heatmap for array.
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