Package: EMMIXgene 0.1.4

Andrew Thomas Jones

EMMIXgene: A Mixture Model-Based Approach to the Clustering of Microarray Expression Data

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.

Authors:Andrew Thomas Jones [aut, cre]

EMMIXgene_0.1.4.tar.gz
EMMIXgene_0.1.4.tar.gz(r-4.7-arm64)EMMIXgene_0.1.4.tar.gz(r-4.7-x86_64)EMMIXgene_0.1.4.tar.gz(r-4.6-arm64)EMMIXgene_0.1.4.tar.gz(r-4.6-x86_64)
EMMIXgene_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
EMMIXgene/json (API)

# Install 'EMMIXgene' in R:
install.packages('EMMIXgene', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • alon_data - Normalized gene expression values from Alon et al. (1999).
  • golub_data - Normalized gene expression values from Golub et al. (1999).

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.70 score 9 scripts 269 downloads 7 exports 23 dependencies

Last updated from:1ac8dc5713. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK218
linux-devel-x86_64OK164
source / vignettesOK190
linux-release-arm64OK193
linux-release-x86_64OK160
wasm-releaseOK140

Exports:all_cluster_tissuescluster_genescluster_tissuesheat_mapsplot_single_geneselect_genestop_genes_cluster_tissues

Dependencies:BHclicpp11farverggplot2gluegtableisobandlabelinglifecyclemclustplyrR6RColorBrewerRcppRcppArmadilloreshaperlangS7scalesvctrsviridisLitewithr