A Mixture Model-Based Approach to the Clustering of Microarray Expression Data
Overview
Provides unsupervised selection and clustering of microarray data using mixture models. Following the methods described in McLachlan, Bean and Peel (2002) doi:10.1093/bioinformatics/18.3.413 a subset of genes are selected based one the likelihood ratio statistic for the test of one versus two components when fitting mixtures of t-distributions to the expression data for each gene. The dimensionality of this gene subset is further reduced through the use of mixtures of factor analyzers, allowing the tissue samples to be clustered by fitting mixtures of normal distributions.
- Removed unnecessary C++11 requirement
- Updated description
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 10includes a package overview page
- Examples that run
- 88%7 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.4Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.32020-03-23 · diff ↗
- 0.1.22020-02-09 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.1.12019-01-04 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.1.02018-04-03
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2018-04-03
- Total releases
- 5 / 8 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.3.0
- Bundled data
- 1.7 MB / 2 files
- Download size
- 1.7 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("EMMIXgene")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.