normaliseByRLE: normaliseByRLE
In IMB-Computational-Genomics-Lab/ascend: ascend - Analysis of Single Cell Expression, Normalisation, and Differential expression
Description
Usage
Arguments
Value
Examples
View source: R/ascend_normalisation.R
Description
Normalisation of expression between cells, by scaling to relative log
expression (RLE). Only counts that are greater than zero are considered in
this normalisation method.
Usage
1
normaliseByRLE(object)
Arguments
object
An EMSet set that has undergone filtering.
Please ensure spike-ins have been removed before using this function.
Value
An EMSet with normalised expression values.
Examples
1
2
3
4
5
# Load example EMSet
em_set <- ascend::raw_set
# Normalise batches
norm_set <- normaliseByRLE(em_set)
IMB-Computational-Genomics-Lab/ascend documentation built on Aug. 29, 2019, 4:10 a.m.
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Description Usage Arguments Value Examples
View source: R/ascend_normalisation.R
Description
Normalisation of expression between cells, by scaling to relative log expression (RLE). Only counts that are greater than zero are considered in this normalisation method.
Usage
1 | normaliseByRLE(object)
|
Arguments
object |
An |
Value
An EMSet with normalised expression values.
Examples
1 2 3 4 5 | # Load example EMSet
em_set <- ascend::raw_set
# Normalise batches
norm_set <- normaliseByRLE(em_set)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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