jokergoo/cola: A Framework for Consensus and Hierarchical Partition
Version 0.99.0

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.

Getting started

Package details

AuthorZuguang Gu
Bioconductor views Clustering
Date of publication2017-4-14 00:00:00
MaintainerZuguang Gu <[email protected]>
LicenseMIT + file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
jokergoo/cola documentation built on June 27, 2018, 10:35 a.m.