vallotlab/IDclust: Iterative Differential Clustering for single-cell

IDclust is an unsupervised method for clustering single-cell datasets (scRNA, scEpigenome). The cells are iteratively re-processed and re-clustered. Subclusters are created provided they are significantly different from each other.

README.md

Vignettes Man pages API and functions Files

Package details
Bioconductor views	ATACSeq ChIPSeq Classification Clustering Epigenetics MultipleComparison Normalization PrincipalComponent SingleCell Software Visualization
Maintainer
License	GPL-3
Version	0.99.00
URL	https://github.com/vallotlab/IDclust
Package repository	View on GitHub
Installation	Install the latest version of this package by entering the following in R: `install.packages("remotes") remotes::install_github("vallotlab/IDclust")`