HyperGTestGeneEnrichment: Hyper Geometric Geneset Enrichement Test
In broadinstitute/PerturbationAMARETTO: Regulatory Network Inference and Driver Gene Evaluation using Integrative Multi-Omics Analysis and Penalized Regression
Description
Usage
Arguments
Value
View source: R/amaretto_htmlreport.R
Description
Calculates the p-values for unranked gene set enrichment based on two gmt files as input and the hyper geometric test.
Usage
1
2
HyperGTestGeneEnrichment(gmtfile, testgmtfile, NrCores,
ref.numb.genes = 45956)
Arguments
gmtfile
The gmt file with reference gene set.
testgmtfile
The gmt file with gene sets to test. In our case, the gmt file of the modules.
NrCores
Number of cores used for parallelization.
ref.numb.genes
The total number of genes teste, standard equal to 45 956 (MSIGDB standard).
Value
result
broadinstitute/PerturbationAMARETTO documentation built on Nov. 4, 2019, 8:14 a.m.
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.
Description Usage Arguments Value
View source: R/amaretto_htmlreport.R
Description
Calculates the p-values for unranked gene set enrichment based on two gmt files as input and the hyper geometric test.
Usage
1 2 | HyperGTestGeneEnrichment(gmtfile, testgmtfile, NrCores,
ref.numb.genes = 45956)
|
Arguments
gmtfile |
The gmt file with reference gene set. |
testgmtfile |
The gmt file with gene sets to test. In our case, the gmt file of the modules. |
NrCores |
Number of cores used for parallelization. |
ref.numb.genes |
The total number of genes teste, standard equal to 45 956 (MSIGDB standard). |
Value
result
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.