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TMixClust

Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines

Bioconductor version: 3.24 · Package version: 1.35.0

Implementation of a clustering method for time series gene expression data based on mixed-effects models with Gaussian variables and non-parametric cubic splines estimation. The method can robustly account for the high levels of noise present in typical gene expression time series datasets.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("TMixClust")

Details

MaintainerMonica Golumbeanu <golumbeanu.monica@gmail.com>
AuthorMonica Golumbeanu <golumbeanu.monica@gmail.com>
LicenseGPL (>=2)
Downloads rank463
Source branchdevel
biocViewsClustering, GeneExpression, Software, StatisticalMethod, TimeCourse

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageTMixClust_1.35.0.tar.gz
Windows binary (x86_64)TMixClust_1.35.0.zip
macOS binary (arm64)TMixClust_1.35.0.tgz
macOS binary (x86_64)TMixClust_1.35.0.tgz
Dependencies

Depends: R (>= 3.4)

Imports: gss, mvtnorm, stats, zoo, cluster, utils, BiocParallel, flexclust, grDevices, graphics, Biobase, SPEM

Suggests: rmarkdown, knitr, BiocStyle, testthat