This is the released version of TMixClust; for the devel version, see TMixClust.
Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing SplinesBioconductor version: Release (3.21)
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, entercitation("TMixClust")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("TMixClust")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("TMixClust")Follow Installation instructions to use this package in your R session.
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