add_hvgs: Add top highly variable genes for subsequent dimensionality...
In hms-dbmi/drugseqr: GUI to Explore Single-Cell and Bulk RNA-Seq from Fastq to Pathways and Perturbations
add_hvgs R Documentation
Add top highly variable genes for subsequent dimensionality reduction
Description
Runs after preprocess_scseq
Usage
add_hvgs(sce, hvgs = NULL)
Arguments
sce
SingleCellExperiment object
hvgs
Character vector of genes to use. Used to specify external
set of highly variable genes.
Value
sce a boolean vector added to rowData(sce)$hvg that
indicates which rows correspond to highly variable genes.
hms-dbmi/drugseqr documentation built on Feb. 15, 2024, 10:38 p.m.
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| add_hvgs | R Documentation |
Add top highly variable genes for subsequent dimensionality reduction
Description
Runs after preprocess_scseq
Usage
add_hvgs(sce, hvgs = NULL)
Arguments
sce |
|
hvgs |
Character vector of genes to use. Used to specify external set of highly variable genes. |
Value
sce a boolean vector added to rowData(sce)$hvg that
indicates which rows correspond to highly variable genes.
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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