cola

DOI: 10.18129/B9.bioc.cola    

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see cola.

A Framework for Consensus and Hierarchical Partitioning

Bioconductor version: 3.9

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 subgroups with known annotations. The cola package provides a general framework for subgroup classification by consensus clustering. It has following features: 1. It modularizes the consensus clustering processes that various methods can be easily integrated. 2. It provides rich visualizations for interpreting the results. 3. It allows running multiple methods at the same time and provides functionalities to compare results in a straightforward way. 4. It provides a new method to extract features which are more efficient to separate subgroups. 5. It allows doing partitioning in a hierarchical way to detect subgroups with relatively smaller difference. 6. It generates detailed reports for the complete analysis.

Author: Zuguang Gu

Maintainer: Zuguang Gu <z.gu at dkfz.de>

Installation

To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("cola")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("cola")

 

HTML	R Script	1. A Quick Start of Using cola Package
HTML	R Script	2. A Framework for Consensus and Hierarchical Partitioning
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	Classification, Clustering, GeneExpression, Software
Version	1.0.1
In Bioconductor since	BioC 3.9 (R-3.6) (< 6 months)
License	MIT + file LICENSE
Depends	R (>= 3.6.0)
Imports	grDevices, graphics, grid, stats, utils, ComplexHeatmap(>= 2.0.0), matrixStats, GetoptLong, circlize (>= 0.4.7), GlobalOptions (>= 0.1.0), clue, parallel, RColorBrewer, cluster, skmeans, png, mclust, crayon, methods, xml2, microbenchmark, httr, knitr, markdown, digest, impute, brew, Rcpp (>= 0.11.0), BiocGenerics, eulerr
LinkingTo	Rcpp
Suggests	genefilter, mvtnorm, testthat (>= 0.3), data.tree, dendextend, samr, pamr, kohonen, NMF, WGCNA, Rtsne, umap, clusterProfiler, AnnotationDbi, gplots
SystemRequirements
Enhances
URL	https://github.com/jokergoo/cola
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	cola_1.0.1.tar.gz
Windows Binary	cola_1.0.1.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	cola_1.0.1.tgz
Source Repository	git clone https://git.bioconductor.org/packages/cola
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/cola
Package Short Url	https://bioconductor.org/packages/cola/
Package Downloads Report	Download Stats