DESCRIPTION

Package: MultiK
Type: Package
Title: Objectively selects multiple insightful numbers of clusters K from single cell RNA-seq data. 
Version: 0.1.0
Date: 2020-12-29
Author: Siyao Liu
Maintainer: Siyao Liu <siyao@email.unc.edu>
Description: Estimation of optimal cluster number (K) is a crucial step in clustering, and one that is often ignored. Most current scRNAseq group characterization approaches lack a “multi-resolution” perspective by restricting the goal of the analysis to a single resolution level. MultiK is a data-driven tool that allows for objective selection of multiple insightful K, and achieves high robustness by combining multiple resolution solutions together through a consensus approach that also uses sub-sampling.  
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1