Bioconductor version: Release (3.14)
Subgroup classification is a basic task in genomic data analysis, especially for gene expression and DNA methylation data analysis. It can also be used to test the agreement to known clinical annotations, or to test whether there exist significant batch effects. The cola package provides a general framework for subgroup classification by consensus partitioning. It has the following features: 1. It modularizes the consensus partitioning 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 straightforward compare results. 4. It provides a new method to extract features which are more efficient to separate subgroups. 5. It automatically generates detailed reports for the complete analysis. 6. It allows applying consensus partitioning in a hierarchical manner.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu at dkfz.de>
Citation (from within R,
enter citation("cola")
):
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("cola")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cola")
HTML | Use of cola | |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
Follow Installation instructions to use this package in your R session.
Source Package | cola_2.0.0.tar.gz |
Windows Binary | cola_2.0.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | cola_2.0.0.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 |
Old Source Packages for BioC 3.14 | Source Archive |
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