TMixClust
Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines
Bioconductor version: 3.23 · Package version: 1.34.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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
| Maintainer | Monica Golumbeanu <golumbeanu.monica@gmail.com> |
| Author | Monica Golumbeanu <golumbeanu.monica@gmail.com> |
| License | GPL (>=2) |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Clustering, GeneExpression, Software, StatisticalMethod, TimeCourse |
| Package Short Url | https://bioconductor.org/packages/TMixClust/ |
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 1.34.0, https://bioconductor.org/packages/TMixClust.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | TMixClust_1.34.0.tar.gz |
| Windows binary (x86_64) | TMixClust_1.34.0.zip |
| macOS binary (arm64) | TMixClust_1.34.0.tgz |
| macOS binary (x86_64) | TMixClust_1.34.0.tgz |