cbg-ethz/TMixClust: Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines
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.
Getting started
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Package details |
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| Author | Monica Golumbeanu <golumbeanu.monica@gmail.com> |
| Bioconductor views | Clustering GeneExpression Software StatisticalMethod TimeCourse |
| Maintainer | Monica Golumbeanu <golumbeanu.monica@gmail.com> |
| License | GPL (>=2) |
| Version | 1.1.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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