xCell_loader: Scales and centers data by sample/row in preparation for...
In Rvirgenslane/GmicR: Combines WGCNA and xCell readouts with bayesian network learrning to generate a Gene-Module Immune-Cell network (GMIC)
Description
Usage
Arguments
Value
Examples
Description
Scales and centers data by sample/row in preparation for discretization
Usage
1
xCell_loader(File = NULL)
Arguments
File
the name of the text file generated by xCell that
contains the
cell signature scores.
Value
xCell signatures scaled and centered by sample. For GMIC,
ImmuneScore, StromaScore, and MicroenvironmentScore are removed.
Examples
1
2
3
file_dir<-system.file("extdata", "IRIS_xCell_sig.txt",
package = "GmicR", mustWork = TRUE)
Xcell_sig<-xCell_loader(file_dir)
Rvirgenslane/GmicR documentation built on Feb. 5, 2020, 4:08 a.m.
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Description Usage Arguments Value Examples
Description
Scales and centers data by sample/row in preparation for discretization
Usage
1 | xCell_loader(File = NULL)
|
Arguments
File |
the name of the text file generated by xCell that contains the cell signature scores. |
Value
xCell signatures scaled and centered by sample. For GMIC, ImmuneScore, StromaScore, and MicroenvironmentScore are removed.
Examples
1 2 3 | file_dir<-system.file("extdata", "IRIS_xCell_sig.txt",
package = "GmicR", mustWork = TRUE)
Xcell_sig<-xCell_loader(file_dir)
|
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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