A simple R implementation of the phenograph [PhenoGraph](http:// www.cell.com/cell/abstract/S0092-8674(15)00637-6) algorithm, which is a clustering method designed for high-dimensional single-cell data analysis. It works by creating a graph ("network") representing phenotypic similarities between cells by calclating the Jaccard coefficient between nearest-neighbor sets, and then identifying communities using the well known ["Louvain method"] (https://sites.google.com/site/findcommunities/) in this graph.
|Maintainer||Hao Chen <[email protected]>|
|Package repository||View on GitHub|
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