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Binarize scRNAseq data

Usage

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

pbmc_avg <- average_clusters(
    mat = pbmc_matrix_small,
    metadata = pbmc_meta,
    cluster_col = "classified"
)

mat <- binarize_expr(pbmc_avg)
mat[1:3, 1:3]
#>        Naive CD4 T Memory CD4 T CD14+ Mono
#> PPBP             0            0          1
#> LYZ              1            1          1
#> S100A9           1            1          1