hippo_diagnostic_plot: Conduct feature selection by computing test statistics for...
In HIPPO: Heterogeneity-Induced Pre-Processing tOol
Description
Usage
Arguments
Value
Examples
Description
Conduct feature selection by computing test statistics for each gene
Usage
1
hippo_diagnostic_plot(sce, show_outliers = FALSE, zvalue_thresh = 10)
Arguments
sce
SingleCellExperiment object with count matrix
show_outliers
boolean to indicate whether to circle the outliers
with given zvalue_thresh
zvalue_thresh
a numeric v for defining outliers
Value
a diagnostic plot that shows genes with zero inflation
Examples
1
2
data(toydata)
hippo_diagnostic_plot(toydata, show_outliers=TRUE, zvalue_thresh = 2)
HIPPO documentation built on Nov. 8, 2020, 5:05 p.m.
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.
Description Usage Arguments Value Examples
Description
Conduct feature selection by computing test statistics for each gene
Usage
1 | hippo_diagnostic_plot(sce, show_outliers = FALSE, zvalue_thresh = 10)
|
Arguments
sce |
SingleCellExperiment object with count matrix |
show_outliers |
boolean to indicate whether to circle the outliers with given zvalue_thresh |
zvalue_thresh |
a numeric v for defining outliers |
Value
a diagnostic plot that shows genes with zero inflation
Examples
1 2 | data(toydata)
hippo_diagnostic_plot(toydata, show_outliers=TRUE, zvalue_thresh = 2)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.