Clustering of Omics Data of Multiple Types with a Multilayer Network Representation
Cluster the Columns of Y into K Groups with the Help of External Featu...
Cluster the Rows of X into K Clusters Using the AWNCut Method.
This Function Outputs the Selection of Tuning Parameters for the AWNCu...
This Function Calculates the True Error Rate of a Clustering Result, A...
The MLBNCut Clusters the Columns and the Rows Simultaneously of Data f...
MuNCut Clusters the Columns of Data from 3 Different Sources.
Cluster the Columns of Y into K Groups Using the NCut Graph Measure.
Cluster the Columns of X into K Clusters by Giving a Weighted Cluster ...
Omics data come in different forms: gene expression, methylation, copy number, protein measurements and more. 'NCutYX' allows clustering of variables, of samples, and both variables and samples (biclustering), while incorporating the dependencies across multiple types of Omics data. (SJ Teran Hidalgo et al (2017), <doi:10.1186/s12864-017-3990-1>).