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Based on soft clustering performed by the Mfuzz package.
# S4 method for omics_array,numeric clustInference(omicsarray, vote.index, new.window = FALSE)
A list of two elements:
A data.frame of nrows(omicsarray) observations of 3 variables (name, cluster, maj.vote.index).
Additionnal info.
A omicsarray to cluster
Option for cluster attribution
Boolean. New X11 window for plots. Defaults to FALSE.
Bertrand Frederic, Myriam Maumy-Bertrand.
library(Patterns) if(require(CascadeData)){ data(micro_S, package="CascadeData") D<-Patterns::as.omics_array(micro_S[1:20,],1:4,6) b<-Patterns::clustInference(D,0.5) b }
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