clustree

Luke Zappia, Alicia Oshlack
Last updated on 2020-03-22 software
Code Project DOI

Deciding what resolution to use can be a difficult question when approaching a clustering analysis. One way to approach this problem is to look at how samples move as the number of clusters increases. The clustree package is availavble from CRAN (https://cran.r-project.org/package=clustree) allows you to produce clustering trees, a visualisation for interrogating clusterings as resolution increases.

clustering visualisation software R

Related

Talks

Tools and techniques for single-cell RNA sequencing data

My PhD completion seminar
2019-03-22 Murdoch Children's Research Institute
Code Project Project Project Slides

Tools, simulations and trees for scRNA-seq

Presentation at the Institute of Computational Biology where I described my PhD projects.
2018-09-27 Institute of Computational Biology, Helmholtz Zentrum München
Project Project Project Slides

Using clustering trees to visualise scRNA-seq data

Selected talk at the Genome Informatics 2018 conference where I described how clustering trees can be used with scRNA-seq data.
2018-09-17 15:40 — 16:00 Wellcome Trust Genome Campus
Code Project Slides

clustree: producing clustering trees using ggraph

Presentation at the userR! 2018 conference introducing the clustree package and demonstrating how it makes use of the ggraph package.
2018-07-21 16:30 — 16:50 Brisbane Convention and Exhibition Centre
Code Project Slides Video

Clustering trees for visualising scRNA-seq data

Selected talk at the Oz Single Cells 2018 conference where I presented clustering trees and the clustree package.
2018-07-16 Garvan Institute of Medical Research
Code Project Slides