Based on soft clustering performed by the Mfuzz package.

# S4 method for omics_array
clustExploration(omicsarray, new.window = FALSE)

Arguments

omicsarray

A omicsarray to cluster

new.window

Boolean. New X11 window for plots. Defaults to FALSE.

Value

A data.frame of nrows(omicsarray) observations of 3 variables (name, cluster, maj.vote.index).

Author

Bertrand Frederic, Myriam Maumy-Bertrand.

Examples


library(Patterns)
if(require(CascadeData)){
data(micro_S, package="CascadeData")
D<-Patterns::as.omics_array(micro_S[1:100,],1:4,6)
a<-clustExploration(D)
a
}
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#>            name cluster maj.vote.index
#> 1     1007_s_at       6              2
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#> 46  200025_s_at       3              1
#> 47    200026_at       1              1
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#> 49  200028_s_at       2              3
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#> 78  200057_s_at       9              2
#> 79  200058_s_at       1              2
#> 80  200059_s_at       1              2
#> 81  200060_s_at       1              2
#> 82  200061_s_at       4              2
#> 83  200062_s_at       6              3
#> 84  200063_s_at       8              6
#> 85    200064_at       8              4
#> 86  200065_s_at       1              2
#> 87    200066_at       1              2
#> 88  200067_x_at       5              4
#> 89  200068_s_at       8              3
#> 90    200069_at       5              2
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