Cluster a omics_array object: performs the clustering.

Based on soft clustering performed by the Mfuzz package.

Usage

# S4 method for class 'omics_array,numeric,numeric'
unsupervised_clustering(
  M1,
  clust,
  mestim,
  M2 = NULL,
  data_log = TRUE,
  screen = NULL,
  heatmap = TRUE,
  new.window = TRUE
)

Arguments

M1

Object of omics_array class.

clust

Number of clusters.

mestim

Fuzzification parameter.

M2

[NULL] Object of omics_array class,

data_log

[TRUE] Should data be logged?

screen

[NULL] Specify `mfrow` parameter.

heatmap

[TRUE] Plot heatmaps?

new.window

[TRUE] Use new window?

Value

An object of class omics_array with the group slot updated by groups deduced from the soft clustering result.

Author

Bertrand Frederic, Myriam Maumy-Bertrand.

Examples

if(require(CascadeData)){
data(micro_S, package="CascadeData")
M<-as.omics_array(micro_S[51:100,],1:4,6)
mc<-unsupervised_clustering_auto_m_c(M)
MwithGrp=unsupervised_clustering(M, 4, mc$m, screen=NULL, heatmap=FALSE, new.window = FALSE)
# Other options
unsupervised_clustering(M, 4, mc$m, screen=c(2,2), heatmap=TRUE, new.window = FALSE)
# Plot the clusters
plot(MwithGrp)
}








#> 
#> Attaching package: ‘gplots’
#> The following object is masked from ‘package:plotrix’:
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#>     plotCI
#> The following object is masked from ‘package:stats’:
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#>     lowess