TMixClust
Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines
Bioconductor version: 3.24 · Package version: 1.35.0
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) |
| Downloads rank | 463 |
| Source branch | devel |
| biocViews | Clustering, GeneExpression, Software, StatisticalMethod, TimeCourse |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | TMixClust_1.35.0.tar.gz |
| Windows binary (x86_64) | TMixClust_1.35.0.zip |
| macOS binary (arm64) | TMixClust_1.35.0.tgz |
| macOS binary (x86_64) | TMixClust_1.35.0.tgz |