jichunxie/CDI: Clustering Deviation Index (CDI)

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.

Getting started

Package details

Bioconductor views CellBasedAssays Clustering RNASeq Sequencing SingleCell Software Visualization
Maintainer
LicenseGPL-3 + file LICENSE
Version1.1.0
URL https://github.com/jichunxie/CDI
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jichunxie/CDI")
jichunxie/CDI documentation built on Dec. 6, 2023, 5:48 a.m.