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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