Subgroup classification is a basic task in genomic data analysis, especially for gene expression data and methylation data. It can predict novel subgroups when there is nothing known about the data or it can test consistency between predicted subgrups with known annotations. The cola package provides a general framework for subgroup classification by consensus clustering. It has following functionalities: 1. it tests multiple methods simultaneously; 2. it provides rich visualizations for the stability of subgrouping; 3. it finds subgroups even the difference between subgroups are subtile; 4. it can find subgroups in a hierarchical manner.
|Date of publication||2017-4-14 00:00:00|
|Maintainer||Zuguang Gu <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.