sc3_plot_de_genes: Plot expression of DE genes of the clusters identified by...
In SC3: Single-Cell Consensus Clustering
Description
SC3 plots gene expression profiles of the 50 genes with the lowest p-values.
Usage
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sc3_plot_de_genes.SingleCellExperiment(object, k, p.val, show_pdata)
## S4 method for signature 'SingleCellExperiment'
sc3_plot_de_genes(object, k, p.val = 0.01,
show_pdata = NULL)
Arguments
object
an object of 'SingleCellExperiment' class
k
number of clusters
p.val
significance threshold used for the DE genes
show_pdata
a vector of colnames of the pData(object) table. Default is NULL.
If not NULL will add pData annotations to the columns of the output matrix
SC3 documentation built on Nov. 8, 2020, 7:52 p.m.
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Description
SC3 plots gene expression profiles of the 50 genes with the lowest p-values.
Usage
1 2 3 4 5 | sc3_plot_de_genes.SingleCellExperiment(object, k, p.val, show_pdata)
## S4 method for signature 'SingleCellExperiment'
sc3_plot_de_genes(object, k, p.val = 0.01,
show_pdata = NULL)
|
Arguments
object |
an object of 'SingleCellExperiment' class |
k |
number of clusters |
p.val |
significance threshold used for the DE genes |
show_pdata |
a vector of colnames of the pData(object) table. Default is NULL. If not NULL will add pData annotations to the columns of the output matrix |
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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