binarize_expr: Binarize scRNAseq data
In clustifyr: Classifier for Single-cell RNA-seq Using Cell Clusters
Description
Usage
Arguments
Value
Examples
View source: R/compare_genelist.R
Description
Binarize scRNAseq data
Usage
1
binarize_expr(mat, n = 1000, cut = 0)
Arguments
mat
single-cell expression matrix
n
number of top expressing genes to keep
cut
cut off to set to 0
Value
matrix of 1s and 0s
Examples
1
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8
pbmc_avg <- average_clusters(
mat = pbmc_matrix_small,
metadata = pbmc_meta,
cluster_col = "classified"
)
mat <- binarize_expr(pbmc_avg)
mat[1:3, 1:3]
clustifyr documentation built on Nov. 8, 2020, 5:32 p.m.
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Description Usage Arguments Value Examples
View source: R/compare_genelist.R
Description
Binarize scRNAseq data
Usage
1 | binarize_expr(mat, n = 1000, cut = 0)
|
Arguments
mat |
single-cell expression matrix |
n |
number of top expressing genes to keep |
cut |
cut off to set to 0 |
Value
matrix of 1s and 0s
Examples
1 2 3 4 5 6 7 8 | pbmc_avg <- average_clusters(
mat = pbmc_matrix_small,
metadata = pbmc_meta,
cluster_col = "classified"
)
mat <- binarize_expr(pbmc_avg)
mat[1:3, 1:3]
|
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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