normaliseBatches: normaliseBatches
In IMB-Computational-Genomics-Lab/ascend: ascend - Analysis of Single Cell Expression, Normalisation, and Differential expression
Description
Usage
Arguments
Details
Value
Examples
View source: R/ascend_normalisation.R
Description
Normalise counts to remove batch effects. This normalisation method is for
experiments where data from batches of different samples are combined without
undergoing library equalisation.
Usage
1
normaliseBatches(object)
Arguments
object
An EMSet with cells from more than one batch.
Details
This step should be done prior to any filtering and normalisation between cells.
Value
An EMSet with batch-normalised expression values.
Examples
1
2
3
4
5
# Load example EMSet
em_set <- ascend::raw_set
# Normalise batches
norm_set <- normaliseBatches(em_set)
IMB-Computational-Genomics-Lab/ascend documentation built on Aug. 29, 2019, 4:10 a.m.
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Description Usage Arguments Details Value Examples
View source: R/ascend_normalisation.R
Description
Normalise counts to remove batch effects. This normalisation method is for experiments where data from batches of different samples are combined without undergoing library equalisation.
Usage
1 | normaliseBatches(object)
|
Arguments
object |
An |
Details
This step should be done prior to any filtering and normalisation between cells.
Value
An EMSet with batch-normalised expression values.
Examples
1 2 3 4 5 | # Load example EMSet
em_set <- ascend::raw_set
# Normalise batches
norm_set <- normaliseBatches(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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