cuda_normalize_counts: Normalize a single-cell count matrix

In cudacellr: GPU-Aware Single-Cell Analysis Workflows

Normalize a single-cell count matrix

Description

Counts are expected with features in rows and cells in columns.

Usage

cuda_normalize_counts(counts, scale_factor = 10000, log1p = TRUE)

Arguments

counts	A base matrix, Matrix sparse matrix, or cudasparse.
scale_factor	Target library size.
log1p	Whether to apply log1p() to non-zero normalized values.

Value

A sparse Matrix::dgCMatrix with the input feature and cell names.

Examples

counts <- Matrix::Matrix(matrix(c(1, 0, 3, 2, 4, 1), 3), sparse = TRUE)
cuda_normalize_counts(counts)

cudacellr documentation built on Oct. 28, 2026, 1:07 a.m.