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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 (3.23)
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("TMixClust")):
Installation
To install this package, start R (version "4.6") 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")
Details
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Follow Installation instructions to use this package in your R session.