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.

Package details

AuthorMonica Golumbeanu <golumbeanu.monica@gmail.com>
Bioconductor views Clustering GeneExpression Software StatisticalMethod TimeCourse
MaintainerMonica Golumbeanu <golumbeanu.monica@gmail.com>
LicenseGPL (>=2)
Version1.12.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("TMixClust")

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TMixClust documentation built on Nov. 8, 2020, 8:13 p.m.