AMARETTO_Run: AMARETTO_Run Function to run AMARETTO, a statistical...
In broadinstitute/ImagingAMARETTO: ImagingAMARETTO: tools for interpreting multi-omics networks for relevance to clinical outcomes and radiographic and histopathology imaging-derived biomarkers
Description
Usage
Arguments
Value
Examples
View source: R/amaretto_functions.R
Description
AMARETTO_Run
Function to run AMARETTO, a statistical algorithm to identify cancer drivers by integrating a variety of omics data from cancer and normal tissue.
Usage
1
AMARETTO_Run(AMARETTOinit)
Arguments
AMARETTOinit
List output from AMARETTO_Initialize().
Value
result
Examples
1
2
3
4
data('ProcessedDataLIHC')
AMARETTOinit <- AMARETTO_Initialize(ProcessedData = ProcessedDataLIHC,
NrModules = 2, VarPercentage = 50)
AMARETTOresults <- AMARETTO_Run(AMARETTOinit)
broadinstitute/ImagingAMARETTO documentation built on Dec. 3, 2019, 6:38 p.m.
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Description Usage Arguments Value Examples
View source: R/amaretto_functions.R
Description
AMARETTO_Run Function to run AMARETTO, a statistical algorithm to identify cancer drivers by integrating a variety of omics data from cancer and normal tissue.
Usage
1 | AMARETTO_Run(AMARETTOinit)
|
Arguments
AMARETTOinit |
List output from AMARETTO_Initialize(). |
Value
result
Examples
1 2 3 4 | data('ProcessedDataLIHC')
AMARETTOinit <- AMARETTO_Initialize(ProcessedData = ProcessedDataLIHC,
NrModules = 2, VarPercentage = 50)
AMARETTOresults <- AMARETTO_Run(AMARETTOinit)
|
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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