# Clustering of Omics Data of Multiple Types with a Multilayer Network Representation

## Documentation for package ‘NCutYX’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

ancut | Cluster the Columns of Y into K Groups with the Help of External Features X.
awncut | Cluster the Rows of X into K Clusters Using the AWNCut Method.
awncut.selection | This Function Outputs the Selection of Tuning Parameters for the AWNCut Method.
brca.data.cna | Data on copy number aberrations from breast cancer patients.
brca.data.ge | Data on gene expression from breast cancer patients.
brca.data.rppa | Data on protein measurements from breast cancer patients.
cesc.data.cna | Data on copy number aberrations from cervical cancer patients.
cesc.data.ge | Data on gene expression from breast cancer patients.
cesc.data.rppa | Data on protein measurements from cervical cancer patients.
ErrorRate | This Function Calculates the True Error Rate of a Clustering Result, Assuming that There are Three Clusters.
mlbncut | The MLBNCut Clusters the Columns and the Rows Simultaneously of Data from 3 Different Sources.
muncut | MuNCut Clusters the Columns of Data from 3 Different Sources.
ncut | Cluster the Columns of Y into K Groups Using the NCut Graph Measure.
pwncut | Cluster the Columns of X into K Clusters by Giving a Weighted Cluster Membership while shrinking Weights Towards Each Other.