Package: EMMIXgene 0.1.4

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]

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EMMIXgene.pdf |EMMIXgene.html
EMMIXgene/json (API)
NEWS

# Install 'EMMIXgene' in R:
install.packages('EMMIXgene', repos = c('https://andrewthomasjones.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).

On CRAN:

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

7 exports 0.09 score 34 dependencies 9 scripts 224 downloads

Last updated 8 months agofrom:1ac8dc5713. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 18 2024
R-4.5-win-x86_64OKSep 18 2024
R-4.5-linux-x86_64OKSep 18 2024
R-4.4-win-x86_64OKSep 18 2024
R-4.4-mac-x86_64OKSep 18 2024
R-4.4-mac-aarch64OKSep 18 2024
R-4.3-win-x86_64OKSep 18 2024
R-4.3-mac-x86_64OKSep 18 2024
R-4.3-mac-aarch64OKSep 18 2024

Exports:all_cluster_tissuescluster_genescluster_tissuesheat_mapsplot_single_geneselect_genestop_genes_cluster_tissues

Dependencies:BHclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmclustmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshaperlangscalestibbleutf8vctrsviridisLitewithr