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.

Getting started

Package details

Bioconductor views ATACSeq ChIPSeq Classification Clustering Epigenetics MultipleComparison Normalization PrincipalComponent SingleCell Software Visualization
Maintainer
LicenseGPL-3
Version0.99.00
URL https://github.com/vallotlab/IDclust
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("vallotlab/IDclust")
vallotlab/IDclust documentation built on July 5, 2024, 3:26 p.m.