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Convert a Two-column Matrix or Data Frame into a Hub Node List

edgesToHubNetworks.Rd

Interactions between pairs of features (typically a protein-protein interaction, commonly abbreviated as PPI, database) are restructured into a named list. The name of the each element of the list is a feature and the element contains all features which have an interaction with it.

Usage

edgesToHubNetworks(edges, minCardinality = 5)

Arguments

edges

A two-column matrix or data.frame for which each row specifies a known interaction betwen two interactors. If feature X appears in the first column and feature Y appears in the second, there is no need for feature Y to appear in the first column and feature X in the second.

minCardinality

An integer specifying the minimum number of features to be associated with a hub feature for it to be present in the result.

Value

An object of type FeatureSetCollection.

References

VAN: an R package for identifying biologically perturbed networks via differential variability analysis, Vivek Jayaswal, Sarah-Jane Schramm, Graham J Mann, Marc R Wilkins and Yee Hwa Yang, 2010, BMC Research Notes, Volume 6 Article 430, https://bmcresnotes.biomedcentral.com/articles/10.1186/1756-0500-6-430.

Author

Dario Strbenac

Examples


  interactor <- c("MITF", "MITF", "MITF", "MITF", "MITF", "MITF",
                  "KRAS", "KRAS", "KRAS", "KRAS", "KRAS", "KRAS",
                  "PD-1")
  otherInteractor <- c("HINT1", "LEF1", "PSMD14", "PIAS3", "UBE2I", "PATZ1",
                       "ARAF", "CALM1", "CALM2", "CALM3", "RAF1", "HNRNPC",
                       "PD-L1")
  edges <- data.frame(interactor, otherInteractor, stringsAsFactors = FALSE)
  
  edgesToHubNetworks(edges, minCardinality = 4)
#> An object of class 'FeatureSetCollection' consisting of 2 feature sets.
#> Smallest set: 6 features. Largest set: 6 features. 
#> MITF: HINT1, LEF1, PSMD14, PIAS3, UBE2I, ...
#> KRAS: ARAF, CALM1, CALM2, CALM3, RAF1, ...