Publications [#368515] of Jichun Xie

Papers Published

1. Fang, J; Chan, C; Owzar, K; Wang, L; Qin, D; Li, Q-J; Xie, J, Clustering Deviation Index (CDI): a robust and accurate internal measure for evaluating scRNA-seq data clustering., Genome Biol, vol. 23 no. 1 (December, 2022), pp. 269 [doi]
   (last updated on 2024/04/24)

   Abstract:
   Most single-cell RNA sequencing (scRNA-seq) analyses begin with cell clustering; thus, the clustering accuracy considerably impacts the validity of downstream analyses. In contrast with the abundance of clustering methods, the tools to assess the clustering accuracy are limited. We propose a new Clustering Deviation Index (CDI) that measures the deviation of any clustering label set from the observed single-cell data. We conduct in silico and experimental scRNA-seq studies to show that CDI can select the optimal clustering label set. As a result, CDI also informs the optimal tuning parameters for any given clustering method and the correct number of cluster components.