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.
Package details |
|
---|---|
Author | Siyao Liu |
Maintainer | Siyao Liu <siyao@email.unc.edu> |
License | GPL-2 |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.