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 <[email protected]>
Bioconductor views Clustering GeneExpression Software StatisticalMethod TimeCourse
MaintainerMonica Golumbeanu <[email protected]>
LicenseGPL (>=2)
Version1.4.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("TMixClust")

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TMixClust documentation built on Nov. 1, 2018, 2:13 a.m.