# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- 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: 1.10.0 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-release.r-universe.dev repository-code: https://github.com/jichunxie/CDI commit: 466f0e8861a793018b627073b0d3968f961fa8d4 url: https://github.com/jichunxie/CDI date-released: '2026-03-15' contact: - family-names: Fang given-names: Jiyuan email: jfanglovestats@gmail.com orcid: https://orcid.org/0000-0002-5004-4138