TMixClust-package: The main usages of TMixClust

Description Overview Author(s) References

Description

Description of package TMixClust

Overview

TMixClust is a soft-clustering method which employs mixed-effects models with nonparametric smoothing spline fitting and is able to robustly stratify genes by their complex time series patterns. The package has, besides the main clustering method, a set of functionalities assisting the user to visualise and assess the clustering results, and to choose the most optimal clustering solution.

Author(s)

Monica Golumbeanu, monica.golumbeanu@bsse.ethz.ch

References

Golumbeanu M, Desfarges S, Hernandez C, Quadroni M, Rato S, Mohammadi P, Telenti A, Beerenwinkel N, Ciuffi A. (2017) Dynamics of Proteo-Transcriptomic Response to HIV-1 Infection.


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