CDI

Description

Single-cell RNA-sequencing (scRNA-seq) is widely used to explore cellular variation. The analysis of scRNA-seq data often starts from clustering cells into subpopulations. This initial step has a high impact on downstream analyses, and hence it is important to be accurate. However, there have not been unsupervised metric designed for scRNA-seq to evaluate clustering performance. Hence, we propose clustering deviation index (CDI), an unsupervised metric based on the modeling of scRNA-seq UMI counts to evaluate clustering of cells.

Code

Code metrics have not been computed for this package yet.

Topics

People

• Jiyuan Fang maintainer author
• Cliburn Chan contributor
• Qi-Jing Li contributor
• Kouros Owzar contributor
• Diyuan Qin contributor
• Liuyang Wang contributor
• Jichun Xie contributor