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TMixClust

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

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3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6

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

DOI: 10.18129/B9.bioc.TMixClust

Bioconductor version: Development (3.24)

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")):

Monica Golumbeanu. TMixClust: Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines. doi:10.18129/B9.bioc.TMixClust, R package version 1.35.0, https://bioconductor.org/packages/TMixClust.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
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")

Details

Package Archives

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