cola
This is the released version of cola; for the devel version, see cola.
A Framework for Consensus Partitioning
Bioconductor version: Release (3.23)
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.
Maintainer: Zuguang Gu <guzuguang at suat-sz.edu.cn>
citation("cola")):Zuguang Gu. cola: A Framework for Consensus Partitioning. doi:10.18129/B9.bioc.cola, R package version 2.18.0, https://bioconductor.org/packages/cola.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") 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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cola")| The cola package | HTML |
| Reference Manual | |
| NEWS | Text |
| LICENSE | Text |
Details
| biocViews | Classification, Clustering, GeneExpression, Software |
| Version | 2.18.0 |
| In Bioconductor since | BioC 3.9 (R-3.6) (7.5 years) |
| License | MIT + file LICENSE |
| Depends | R (>= 4.0.0) |
| Imports | grDevices, graphics, grid, stats, utils, ComplexHeatmap (>= 2.5.4), matrixStats (>= 1.2.0), GetoptLong, circlize (>= 0.4.7), GlobalOptions (>= 0.1.0), clue, parallel, RColorBrewer, cluster, skmeans, png, mclust, crayon, methods, xml2, microbenchmark, httr, knitr (>= 1.4.0), markdown (>= 1.6), digest, impute, brew, Rcpp (>= 0.11.0), BiocGenerics, eulerr, foreach, doParallel, doRNG, irlba |
| System Requirements | |
| URL | https://github.com/jokergoo/cola https://jokergoo.github.io/cola_collection/ |
See More
| Suggests | genefilter, mvtnorm, testthat (>= 0.3), samr, pamr, kohonen, NMF, WGCNA, Rtsne, umap, clusterProfiler, ReactomePA, DOSE, AnnotationDbi, gplots, hu6800.db, BiocManager, data.tree, dendextend, Polychrome, rmarkdown, simplifyEnrichment, cowplot, flexclust, randomForest, e1071 |
| Linking To | Rcpp |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | InteractiveComplexHeatmap, simplifyEnrichment |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | cola_2.18.0.tar.gz |
| Windows Binary (x86_64) | cola_2.18.0.zip |
| macOS Binary (big-sur-x86_64) | cola_2.18.0.tgz |
| macOS Binary (sonoma-arm64) | cola_2.18.0.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 |