runScoreGeneSets: Enrichment scoring of gene sets on expression data
In montilab/K2Taxonomer: Creating annotated submodules of high-throughput data through recursive partitioning
View source: R/runScoreGeneSets.R
runScoreGeneSets R Documentation
Enrichment scoring of gene sets on expression data
Description
Performs single-sample enrichment scoring using GSVA or AUCell. When AUCell
is specified, output values reflect the AUC levels scaled by 100 and log2
transformed.
Usage
runScoreGeneSets(K2res, ScoreGeneSetMethod = NULL, useCors = NULL)
Arguments
ScoreGeneSetMethod
Character. Method for gene set scoring. Use one of either 'GSVA' (default) or 'AUCELL'.
useCors
Numeric. Number of cores to use for parallelizable processes.
Value
An object of class K2.
References
\insertRefreed_2020K2Taxonomer
\insertRefgsvaK2Taxonomer
montilab/K2Taxonomer documentation built on April 5, 2025, 3:58 a.m.
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View source: R/runScoreGeneSets.R
| runScoreGeneSets | R Documentation |
Enrichment scoring of gene sets on expression data
Description
Performs single-sample enrichment scoring using GSVA or AUCell. When AUCell is specified, output values reflect the AUC levels scaled by 100 and log2 transformed.
Usage
runScoreGeneSets(K2res, ScoreGeneSetMethod = NULL, useCors = NULL)
Arguments
ScoreGeneSetMethod |
Character. Method for gene set scoring. Use one of either 'GSVA' (default) or 'AUCELL'. |
useCors |
Numeric. Number of cores to use for parallelizable processes. |
Value
An object of class K2.
References
\insertRefreed_2020K2Taxonomer \insertRefgsvaK2Taxonomer
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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