graph_cluster: graph_cluster
In noriakis/wcGeneSummary: visualization and interpretation of textual information from omics summary data through network analysis
graph_cluster R Documentation
graph_cluster
Description
Performs graph-based clustering.
Usage
graph_cluster(ret, func = igraph::cluster_leiden, factorize = TRUE)
Arguments
ret
biotext class object
func
community detection algorithm in igraph
factorize
convert to factor upon assigning
Details
Performs graph-based clustering using igraph and stores the information
in the biotext object. Default to use 'igraph::cluster_leiden'.
Value
biotext class object
Examples
testgenes <- c("IRF3","PNKP","DDX41","ERCC1","ERCC2","XRCC1")
refseq(testgenes) |> graph_cluster()
noriakis/wcGeneSummary documentation built on April 22, 2024, 7:12 a.m.
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| graph_cluster | R Documentation |
graph_cluster
Description
Performs graph-based clustering.
Usage
graph_cluster(ret, func = igraph::cluster_leiden, factorize = TRUE)
Arguments
ret |
biotext class object |
func |
community detection algorithm in igraph |
factorize |
convert to factor upon assigning |
Details
Performs graph-based clustering using igraph and stores the information in the biotext object. Default to use 'igraph::cluster_leiden'.
Value
biotext class object
Examples
testgenes <- c("IRF3","PNKP","DDX41","ERCC1","ERCC2","XRCC1")
refseq(testgenes) |> graph_cluster()
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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