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Bioconductor - TMixClust (development version)

TMixClust

This is the development version of TMixClust; for the stable release version, see TMixClust.

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

Bioconductor version: Development (3.22)

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.

Author: Monica Golumbeanu <golumbeanu.monica at gmail.com>

Maintainer: Monica Golumbeanu <golumbeanu.monica at gmail.com>

Citation (from within R, enter citation("TMixClust")): Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("TMixClust")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("TMixClust")
Clustering time series gene expression data with TMixClust PDF R Script Reference Manual PDF NEWS Text Details biocViews Clustering, GeneExpression, Software, StatisticalMethod, TimeCourse Version 1.31.0 In Bioconductor since BioC 3.6 (R-3.4) (7.5 years) License GPL (>=2) Depends R (>= 3.4) Imports gss, mvtnorm, stats, zoo, cluster, utils, BiocParallel, flexclust, grDevices, graphics, Biobase, SPEM System Requirements URL See More Package Archives

Follow Installation instructions to use this package in your R session.

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