preProcess: preProcess
In zhongmicai/bigSCale2_singleCell: A framework for the analysis of single cell data (RNA-seq and ATAC-seq) including clustering,phenotyping,pseudotime and inferring gene regulatory networks.
Description
Usage
Arguments
Value
Examples
Description
Pre-porocessing of the dataset. Removes genes with all zero values, sets the size factors for normalization and other interal things you do not need to know about.
In the future I will add the possibility to add custom size factors here.
Usage
1
preProcess(object, pipeline = "rna")
Arguments
sce
object of the SingleCellExperiment class.
Value
object of the SingleCellExperiment class, pre-processed.
Examples
1
sce=preProcess(sce)
zhongmicai/bigSCale2_singleCell documentation built on Nov. 5, 2019, 1:26 p.m.
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Description Usage Arguments Value Examples
Description
Pre-porocessing of the dataset. Removes genes with all zero values, sets the size factors for normalization and other interal things you do not need to know about. In the future I will add the possibility to add custom size factors here.
Usage
1 | preProcess(object, pipeline = "rna")
|
Arguments
sce |
object of the SingleCellExperiment class. |
Value
object of the SingleCellExperiment class, pre-processed.
Examples
1 | sce=preProcess(sce)
|
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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