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Performs multi-omics clustering using SGCCA algorithm.

Usage

RunSGCCA(
  data,
  N.clust,
  ncomp = NULL,
  c1 = NULL,
  scheme = "centroid",
  clustering.algorithm = "ward.D2"
)

Arguments

data

A list of matrices (features x samples).

N.clust

Integer. Number of clusters.

ncomp

Integer vector. Number of components per block.

c1

Numeric vector. L1 penalty parameters (0-1).

scheme

Character. Scheme type (default: "centroid").

clustering.algorithm

Character. Clustering method (default: "ward.D2").

Value

A data frame with Sample, Cluster, and Cluster2 columns.

References

Tenenhaus et al. Biostatistics. 2013.

Author

Zaoqu Liu; Email: liuzaoqu@163.com