remove_variables_second: Remove variables based on the mean expression levels across...

In okadalabipr/ASURAT: Functional annotation-driven unsupervised clustering for single-cell data

Remove variables based on the mean expression levels across samples.

Description

This function removes variable data such that the mean expression levels across samples are less than 'min_meannReads'.

Usage

remove_variables_second(sce = NULL, min_meannReads = 0)

Arguments

sce	A SingleCellExperiment object.
min_meannReads	An integer. This function removes variables for which the mean read counts are less than this value.

Value

A SingleCellExperiment object.

Examples

data(pbmc_eg)
pbmc <- remove_variables_second(sce = pbmc_eg, min_meannReads = 0.01)

okadalabipr/ASURAT documentation built on Nov. 25, 2022, 5:40 p.m.