initOmicsDataStructure: Create an empty data structure for measured omics features
In multiGSEA: Combining GSEA-based pathway enrichment with multi omics data integration
Description
Usage
Arguments
Value
Examples
View source: R/feature_processing.R
Description
This function creates a data structure of nested but empty lists. One list
for each omics layer. By default all three supported omics layer are used to
create a data structures with three empty sublists: transcriptome, proteome,
and metabolome.
Usage
1
initOmicsDataStructure(layer = c("transcriptome", "proteome", "metabolome"))
Arguments
layer
List specifying the omics layer which should be created
Value
List with length(layer) empty sublists
Examples
1
2
3
initOmicsDataStructure()
initOmicsDataStructure(c("transcriptome", "proteome"))
initOmicsDataStructure(c("Transcriptome", "Metabolome"))
multiGSEA documentation built on Nov. 8, 2020, 8:15 p.m.
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Description Usage Arguments Value Examples
View source: R/feature_processing.R
Description
This function creates a data structure of nested but empty lists. One list for each omics layer. By default all three supported omics layer are used to create a data structures with three empty sublists: transcriptome, proteome, and metabolome.
Usage
1 | initOmicsDataStructure(layer = c("transcriptome", "proteome", "metabolome"))
|
Arguments
layer |
List specifying the omics layer which should be created |
Value
List with length(layer) empty sublists
Examples
1 2 3 | initOmicsDataStructure()
initOmicsDataStructure(c("transcriptome", "proteome"))
initOmicsDataStructure(c("Transcriptome", "Metabolome"))
|
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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