DOI: 10.18129/B9.bioc.TMixClust  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see TMixClust.

Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines

Bioconductor version: 3.16

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>

Maintainer: Monica Golumbeanu <golumbeanu.monica at>

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PDF R Script Clustering time series gene expression data with TMixClust
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biocViews Clustering, GeneExpression, Software, StatisticalMethod, TimeCourse
Version 1.20.0
In Bioconductor since BioC 3.6 (R-3.4) (5.5 years)
License GPL (>=2)
Depends R (>= 3.4)
Imports gss, mvtnorm, stats, zoo, cluster, utils, BiocParallel, flexclust, grDevices, graphics, Biobase, SPEM
Suggests rmarkdown, knitr, BiocStyle, testthat
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