AMARETTO_Preprocess: AMARETTO_Preprocess
In broadinstitute/PerturbationAMARETTO: Regulatory Network Inference and Driver Gene Evaluation using Integrative Multi-Omics Analysis and Penalized Regression
Description
Usage
Arguments
Value
Examples
View source: R/amaretto_preprocess.R
Description
Wrapper code that analyzes process TCGA GISTIC (CNV) and gene expression (rna-seq or microarray) data via one call
Usage
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AMARETTO_Preprocess(DataSetDirectories = DataSetDirectories,
BatchData = BatchData)
Arguments
DataSetDirectories
DataSetDirectories
BatchData
BatchData
Value
result
Examples
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## Not run:
TargetDirectory <- "Downloads" # path to data download directory
CancerSite <- 'CHOL'
DataSetDirectories <- AMARETTO_Download(CancerSite,TargetDirectory)
ProcessedData <- AMARETTO_Preprocess(DataSetDirectories,BatchData)
## End(Not run)
broadinstitute/PerturbationAMARETTO documentation built on Nov. 4, 2019, 8:14 a.m.
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Description Usage Arguments Value Examples
View source: R/amaretto_preprocess.R
Description
Wrapper code that analyzes process TCGA GISTIC (CNV) and gene expression (rna-seq or microarray) data via one call
Usage
1 2 | AMARETTO_Preprocess(DataSetDirectories = DataSetDirectories,
BatchData = BatchData)
|
Arguments
DataSetDirectories |
DataSetDirectories |
BatchData |
BatchData |
Value
result
Examples
1 2 3 4 5 6 7 | ## Not run:
TargetDirectory <- "Downloads" # path to data download directory
CancerSite <- 'CHOL'
DataSetDirectories <- AMARETTO_Download(CancerSite,TargetDirectory)
ProcessedData <- AMARETTO_Preprocess(DataSetDirectories,BatchData)
## End(Not run)
|
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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