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EMMIXgene  

A Mixture Model-Based Approach to the Clustering of Microarray Expression Data
View on CRAN: Click here


Download and install EMMIXgene package within the R console
Install from CRAN:
install.packages("EMMIXgene")

Install from Github:
library("remotes")
install_github("cran/EMMIXgene")

Install by package version:
library("remotes")
install_version("EMMIXgene", "0.1.4")



Attach the package and use:
library("EMMIXgene")
Maintained by
Andrew Thomas Jones
[Scholar Profile | Author Map]
First Published: 2018-04-03
Latest Update: 2020-03-23
Description:
Provides unsupervised selection and clustering of microarray data using mixture models. Following the methods described in McLachlan, Bean and Peel (2002) 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.
How to cite:
Andrew Thomas Jones (2018). EMMIXgene: A Mixture Model-Based Approach to the Clustering of Microarray Expression Data. R package version 0.1.4, https://cran.r-project.org/web/packages/EMMIXgene. Accessed 04 Mar. 2025.
Previous versions and publish date:
0.1.0 (2018-04-03 19:56), 0.1.1 (2019-01-04 15:10), 0.1.2 (2020-02-09 07:00), 0.1.3 (2020-03-23 16:50)
Other packages that cited EMMIXgene R package
View EMMIXgene citation profile
Other R packages that EMMIXgene depends, imports, suggests or enhances
Complete documentation for EMMIXgene
Functions, R codes and Examples using the EMMIXgene R package
Some associated functions: EMMIXgene . all_cluster_tissues . alon_data . cluster_genes . cluster_tissues . golub_data . heat_maps . plot_single_gene . select_genes . top_genes_cluster_tissues . 
Some associated R codes: RcppExports.R . main.R . mcfa.R . misc.R .  Full EMMIXgene package functions and examples
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