densityCut is a tool to cluster single-cell RNA-seq (scRNA-seq) data. The densityCut algorithm uses estimates of the k-nearest neighbor graph and finetunes using a random walk strategy. The clustering unveils cells of the same functional states and types and can reveal clonal architectures of tumors.
RNA-seq; Cell biology; Genetics; Regenerative medicine
Ding J, Shah S, Condon A "densityCut: An Efficient and Versatile Topological Approach for Automatic Clustering of Biological Data" Bioinformatics. 2016 Sep 1;32(17):2567-76. https://doi.org/10.1093/bioinformatics/btw227
PMID: 27153661
PMCID: PMC5013902
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