Category: Seminars and Conferences
State: Archived
30 November 2020 at 5.30 pm ONLINE

Effective Evaluation of Clustering Algorithms on Single-Cell CNA data

on Microsoft Teams platform

With Marilisa Montemurro - Politecnico di Torino

Clustering methods are increasingly applied to single-cell DNA sequencing (scDNAseq) data to infer the subclonal structure of cancer. However, the complexity of these data exacerbates some data-science issues and affects clustering results. Additionally, determining whether such inferences are accurate and clusters recapitulate the real cell phylogeny is not trivial, mainly because ground truth information is not available for most experimental settings. Here, by exploiting simulated sequencing data representing known phylogenies of cancer cells, we propose a formal and systematic assessment of well-known clustering methods to study their performance and identify the approach providing the most accurate reconstruction of phylogenetic relationships.

Online at this link.