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3 years ago Hi @jfanglovestats
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: CDI
Version: 0.99.0
Date: 2021-07-06
Title: Clustering Deviation Index (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.
Authors@R: c(person("Jiyuan", "Fang", email = "jfanglovestats@gmail.com", role = c("cre", "aut")), person("Jichun", "Xie", email = "jichun.xie@duke.edu", role = c("ctb")))
biocViews: SingleCell, Software, Clustering, Visualization, Sequencing
URL: https://gitlab.oit.duke.edu/jichunxie/xie-lab-software_cdi
BugReports: https://gitlab.oit.duke.edu/jichunxie/xie-lab-software_cdi/-/issues
Imports: matrixStats, Seurat, stats, BiocParallel, ggplot2, reshape2, stringr, grDevices, ggsci
RoxygenNote: 7.1.1
Depends: R(>= 3.4)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
LazyData: true
Encoding: UTF-8
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