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.

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.