keep_high_var_genes: Filter down to the most variable genes
In Shians/CellBench: Construct Benchmarks for Single Cell Analysis Methods
keep_high_var_genes R Documentation
Filter down to the most variable genes
Description
Filter a SingleCellExperiment or matrix down to the most variable genes
(rows), variability is determined by var() scaled by the total counts for the
gene.
Usage
keep_high_var_genes(x, n)
Arguments
x
the SingleCellExperiment or matrix
n
the number of most variable genes to keep
Value
object of same type as input containing the most variable genes
Examples
data(sample_sce_data)
keep_high_var_genes(sample_sce_data, 50)
Shians/CellBench documentation built on Oct. 16, 2023, 7:54 a.m.
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| keep_high_var_genes | R Documentation |
Filter down to the most variable genes
Description
Filter a SingleCellExperiment or matrix down to the most variable genes (rows), variability is determined by var() scaled by the total counts for the gene.
Usage
keep_high_var_genes(x, n)
Arguments
x |
the SingleCellExperiment or matrix |
n |
the number of most variable genes to keep |
Value
object of same type as input containing the most variable genes
Examples
data(sample_sce_data)
keep_high_var_genes(sample_sce_data, 50)
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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