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EMMIXgene
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]
[Scholar Profile | Author Map]
All associated links for this package
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
Previous versions and publish date:
Other packages that cited EMMIXgene R package
View EMMIXgene citation profile
Other R packages that EMMIXgene depends,
imports, suggests or enhances
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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