norm_counts: Accessors for the 'norm_counts' element of an SCESet object.

In dynverse/scaterlegacy: Single-cell analysis toolkit for gene expression data in R

Description

The norm_counts element holds normalised count data as a matrix of non-negative values, one row for each feature (gene, exon, region, etc), and one column for each cell. It is an element of the assayData slot of the SCESet object.

Usage

norm_counts(object)

norm_counts(object) <- value

## S4 method for signature 'SCESet'
norm_counts(object)

## S4 replacement method for signature 'SCESet,matrix'
norm_counts(object)<-value

## S4 method for signature 'SCESet'
norm_counts(object)

## S4 replacement method for signature 'SCESet,matrix'
norm_counts(object) <- value

Arguments

object	a SCESet object.
value	an integer matrix

Value

a matrix of normalised count data

Author(s)

Davis McCarthy

Examples

data("sc_example_counts")
data("sc_example_cell_info")
example_sceset <- newSCESet(countData = sc_example_counts)
norm_counts(example_sceset)

dynverse/scaterlegacy documentation built on Feb. 17, 2020, 5:07 a.m.