cbg-ethz/TMixClust: Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines
Version 1.1.1

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

Package details

AuthorMonica Golumbeanu <[email protected]>
Bioconductor views Clustering GeneExpression Software StatisticalMethod TimeCourse
MaintainerMonica Golumbeanu <[email protected]>
LicenseGPL (>=2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
cbg-ethz/TMixClust documentation built on Feb. 4, 2018, 2:02 a.m.