sc3min_plot_de_genes: Plot expression of DE genes of the clusters identified by...
In brickyyyy/SC3min: Minimized Single-Cell Consensus Clustering
Description
sc3min plots gene expression profiles of the 50 genes with the lowest p-values.
Usage
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sc3min_plot_de_genes.SingleCellExperiment(object, k, p.val, show_pdata)
## S4 method for signature 'SingleCellExperiment'
sc3min_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
brickyyyy/SC3min documentation built on May 8, 2019, 8:07 a.m.
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Description
sc3min plots gene expression profiles of the 50 genes with the lowest p-values.
Usage
1 2 3 4 5 | sc3min_plot_de_genes.SingleCellExperiment(object, k, p.val, show_pdata)
## S4 method for signature 'SingleCellExperiment'
sc3min_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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