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cff-version: 1.2.0
message: 'To cite package "CDI" in publications use:'
type: software
license: GPL-3.0-only
title: 'CDI: Clustering Deviation Index (CDI)'
version: 1.3.0
doi: 10.32614/CRAN.package.CDI
abstract: 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.
authors:
- family-names: Fang
  given-names: Jiyuan
  email: jfanglovestats@gmail.com
  orcid: https://orcid.org/0000-0002-5004-4138
repository: https://bioc.r-universe.dev
repository-code: https://github.com/jichunxie/CDI
commit: 0130ee0bc6f5996f23b3bde0737c44cb58022ae2
url: https://github.com/jichunxie/CDI
date-released: '2023-06-01'
contact:
- family-names: Fang
  given-names: Jiyuan
  email: jfanglovestats@gmail.com
  orcid: https://orcid.org/0000-0002-5004-4138