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-4.5-noble)EMMIXgene_0.1.4.tar.gz(r-4.4-noble)
EMMIXgene_0.1.4.tgz(r-4.4-emscripten)EMMIXgene_0.1.4.tgz(r-4.3-emscripten)
EMMIXgene.pdf |EMMIXgene.html
EMMIXgene/json (API)
NEWS

# Install 'EMMIXgene' in R:
install.packages('EMMIXgene', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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).

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

1.70 score 9 scripts 251 downloads 7 exports 34 dependencies

Last updated 11 months agofrom:1ac8dc5713. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-linux-x86_64OKNov 17 2024

Exports:all_cluster_tissuescluster_genescluster_tissuesheat_mapsplot_single_geneselect_genestop_genes_cluster_tissues

Dependencies:BHclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmclustmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshaperlangscalestibbleutf8vctrsviridisLitewithr