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RelativeCounts

Normalize raw data to fractions


Description

Normalize count data to relative counts per cell by dividing by the total per cell. Optionally use a scale factor, e.g. for counts per million (CPM) use scale.factor = 1e6.

Usage

RelativeCounts(data, scale.factor = 1, verbose = TRUE)

Arguments

data

Matrix with the raw count data

scale.factor

Scale the result. Default is 1

verbose

Print progress

Value

Returns a matrix with the relative counts

Examples

mat <- matrix(data = rbinom(n = 25, size = 5, prob = 0.2), nrow = 5)
mat
mat_norm <- RelativeCounts(data = mat)
mat_norm

Seurat

Tools for Single Cell Genomics

v4.0.1
GPL-3 | file LICENSE
Authors
Andrew Butler [ctb] (<https://orcid.org/0000-0003-3608-0463>), Saket Choudhary [ctb] (<https://orcid.org/0000-0001-5202-7633>), Charlotte Darby [ctb] (<https://orcid.org/0000-0003-2195-5300>), Jeff Farrell [ctb], Christoph Hafemeister [ctb] (<https://orcid.org/0000-0001-6365-8254>), Yuhan Hao [ctb] (<https://orcid.org/0000-0002-1810-0822>), Paul Hoffman [aut, cre] (<https://orcid.org/0000-0002-7693-8957>), Jaison Jain [ctb] (<https://orcid.org/0000-0002-9478-5018>), Efthymia Papalexi [ctb] (<https://orcid.org/0000-0001-5898-694X>), Patrick Roelli [ctb], Rahul Satija [ctb] (<https://orcid.org/0000-0001-9448-8833>), Karthik Shekhar [ctb], Avi Srivastava [ctb] (<https://orcid.org/0000-0001-9798-2079>), Tim Stuart [ctb] (<https://orcid.org/0000-0002-3044-0897>), Kristof Torkenczy [ctb] (<https://orcid.org/0000-0002-4869-7957>), Shiwei Zheng [ctb] (<https://orcid.org/0000-0001-6682-6743>), Satija Lab and Collaborators [fnd]
Initial release
2021-03-17

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